Relevant bibliographies by topics / Multiclass classifications / Dissertations / Theses
To see the other types of publications on this topic, follow the link: Multiclass classifications.

Dissertations / Theses on the topic 'Multiclass classifications'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Multiclass classifications.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Silva, Palacios Daniel Andrés. "Clasificación Jerárquica Multiclase." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/167015.

Full text
Abstract:
[ES] La sociedad moderna se ha visto afectada por los acelerados avances de la tecnología. La aplicación de la inteligencia artificial se puede encontrar en todas partes, desde la televisión inteligente hasta los coches autónomos. Una tarea esencial del aprendizaje automático es la clasificación. A pesar de la cantidad de técnicas y algoritmos de clasificación que existen, es un campo que sigue siendo relevante por todas sus aplicaciones. Así, frente a la clasificación tradicional multiclase en la que a cada instancia se le asigna una única etiqueta de clase, se han propuesto otros métodos com
APA, Harvard, Vancouver, ISO, and other styles
2

Abouelenien, Mohamed. "Boosting for Learning From Imbalanced, Multiclass Data Sets." Thesis, University of North Texas, 2013. https://digital.library.unt.edu/ark:/67531/metadc407775/.

Full text
Abstract:
In many real-world applications, it is common to have uneven number of examples among multiple classes. The data imbalance, however, usually complicates the learning process, especially for the minority classes, and results in deteriorated performance. Boosting methods were proposed to handle the imbalance problem. These methods need elongated training time and require diversity among the classifiers of the ensemble to achieve improved performance. Additionally, extending the boosting method to handle multi-class data sets is not straightforward. Examples of applications that suffer from imbal
APA, Harvard, Vancouver, ISO, and other styles
3

Huang, Jian Giles C. Lee. "A multiclass boosting classification method with active learning." [University Park, Pa.] : Pennsylvania State University, 2009. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-4765/index.html.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Grünwald, Adam. "APPLICATIONS OF DEEP LEARNING IN TEXT CLASSIFICATION FOR HIGHLY MULTICLASS DATA." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385162.

Full text
Abstract:
Text classification using deep learning is rarely applied to tasks with more than ten target classes. This thesis investigates if deep learning can be successfully applied to a task with over 1000 target classes. A pretrained Long Short-Term Memory language model is fine-tuned and used as a base for the classifier. After five days of training, the deep learning model achieves 80.5% accuracy on a publicly available dataset, 9.3% higher than Naive Bayes. With five guesses, the model predicts the correct class 92.2% of the time.
APA, Harvard, Vancouver, ISO, and other styles
5

Ringdahl, Benjamin. "Gaussian Process Multiclass Classification : Evaluation of Binarization Techniques and Likelihood Functions." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-87952.

Full text
Abstract:
In binary Gaussian process classification the prior class membership probabilities are obtained by transforming a Gaussian process to the unit interval, typically either with the logistic likelihood function or the cumulative Gaussian likelihood function. Multiclass classification problems can be handled by any binary classifier by means of so-called binarization techniques, which reduces the multiclass problem into a number of binary problems. Other than introducing the mathematics behind the theory and methods behind Gaussian process classification, we compare the binarization techniques one
APA, Harvard, Vancouver, ISO, and other styles
6

Park, Sang-Hyeun [Verfasser], Johannes [Akademischer Betreuer] Fürnkranz, and Eyke [Akademischer Betreuer] Hüllermeier. "Efficient Decomposition-Based Multiclass and Multilabel Classification / Sang-Hyeun Park. Betreuer: Johannes Fürnkranz ; Eyke Hüllermeier." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2012. http://d-nb.info/1106115678/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Roxbergh, Linus. "Language Classification of Music Using Metadata." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-379625.

Full text
Abstract:
The purpose of this study was to investigate how metadata from Spotify could be used to identify the language of songs in a dataset containing nine languages. Features based on song name, album name, genre, regional popularity and vectors describing songs, playlists and users were analysed individually and in combination with each other in different classifiers. In addition to this, this report explored how different levels of prediction confidence affects performance and how it compared to a classifier based on audio input. A random forest classifier proved to have the best performance with a
APA, Harvard, Vancouver, ISO, and other styles
8

Sarika, Pawan Kumar. "Comparing LSTM and GRU for Multiclass Sentiment Analysis of Movie Reviews." Thesis, Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-20213.

Full text
Abstract:
Today, we are living in a data-driven world. Due to a surge in data generation, there is a need for efficient and accurate techniques to analyze data. One such kind of data which is needed to be analyzed are text reviews given for movies. Rather than classifying the reviews as positive or negative, we will classify the sentiment of the reviews on the scale of one to ten. In doing so, we will compare two recurrent neural network algorithms Long short term memory(LSTM) and Gated recurrent unit(GRU). The main objective of this study is to compare the accuracies of LSTM and GRU models. For trainin
APA, Harvard, Vancouver, ISO, and other styles
9

Mathieu, Bérangère. "Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30290/document.

Full text
Abstract:
La segmentation est l'un des principaux thèmes du domaine de l'analyse d'images. Segmenter une image consiste à trouver une partition constituée de régions, c'est-à-dire d'ensembles de pixels connexes homogènes selon un critère choisi. L'objectif de la segmentation consiste à obtenir des régions correspondant aux objets ou aux parties des objets qui sont présents dans l'image et dont la nature dépend de l'application visée. Même s'il peut être très fastidieux, un tel découpage de l'image peut être facilement obtenu par un être humain. Il n'en est pas de même quand il s'agit de créer un program
APA, Harvard, Vancouver, ISO, and other styles
10

Bourel, Mathias. "Agrégation de modèles en apprentissage statistique pour l'estimation de la densité et la classification multiclasse." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4076/document.

Full text
Abstract:
Les méthodes d'agrégation en apprentissage statistique combinent plusieurs prédicteurs intermédiaires construits à partir du même jeu de données dans le but d'obtenir un prédicteur plus stable avec une meilleure performance. Celles-ci ont été amplement étudiées et ont données lieu à plusieurs travaux, théoriques et empiriques dans plusieurs contextes, supervisés et non supervisés. Dans ce travail nous nous intéressons dans un premier temps à l'apport de ces méthodes au problème de l'estimation de la densité. Nous proposons plusieurs estimateurs simples obtenus comme combinaisons linéaires d'hi
APA, Harvard, Vancouver, ISO, and other styles
11

Binsaeid, Sultan Hassan. "Multisensor Fusion for Intelligent Tool Condition Monitoring (TCM) in End Milling Through Pattern Classification and Multiclass Machine Learning." Scholarly Repository, 2007. http://scholarlyrepository.miami.edu/oa_dissertations/7.

Full text
Abstract:
In a fully automated manufacturing environment, instant detection of condition state of the cutting tool is essential to the improvement of productivity and cost effectiveness. In this paper, a tool condition monitoring system (TCM) via machine learning (ML) and machine ensemble (ME) approach was developed to investigate the effectiveness of multisensor fusion when machining 4340 steel with multi-layer coated and multi-flute carbide end mill cutter. Feature- and decision-level information fusion models utilizing assorted combinations of sensors were studied against selected ML algorithms and t
APA, Harvard, Vancouver, ISO, and other styles
12

Amaral, Renan Piazzaroli Finotti. "Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with classification problems." Universidade Federal de Juiz de Fora (UFJF), 2017. https://repositorio.ufjf.br/jspui/handle/ufjf/6034.

Full text
Abstract:
Submitted by Geandra Rodrigues (geandrar@gmail.com) on 2018-01-09T13:48:15Z No. of bitstreams: 1 renanpiazzarolifinottiamaral.pdf: 1172046 bytes, checksum: eb7bf10c813d64fbddcc572d39aecfc5 (MD5)<br>Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2018-01-22T16:10:30Z (GMT) No. of bitstreams: 1 renanpiazzarolifinottiamaral.pdf: 1172046 bytes, checksum: eb7bf10c813d64fbddcc572d39aecfc5 (MD5)<br>Made available in DSpace on 2018-01-22T16:10:30Z (GMT). No. of bitstreams: 1 renanpiazzarolifinottiamaral.pdf: 1172046 bytes, checksum: eb7bf10c813d64fbddcc572d39aecfc
APA, Harvard, Vancouver, ISO, and other styles
13

Brookey, Carla M. "Application of Machine Learning and Statistical Learning Methods for Prediction in a Large-Scale Vegetation Map." DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/6962.

Full text
Abstract:
Original analyses of a large vegetation cover dataset from Roosevelt National Forest in northern Colorado were carried out by Blackard (1998) and Blackard and Dean (1998; 2000). They compared the classification accuracies of linear and quadratic discriminant analysis (LDA and QDA) with artificial neural networks (ANN) and obtained an overall classification accuracy of 70.58% for a tuned ANN compared to 58.38% for LDA and 52.76% for QDA. Because there has been tremendous development of machine learning classification methods over the last 35 years in both computer science and statistics, as wel
APA, Harvard, Vancouver, ISO, and other styles
14

Labbé, Benjamin. "Machines à noyaux pour le filtrage d'alarmes : application à la discrimination multiclasse en environnement maritime." Thesis, Rouen, INSA, 2011. http://www.theses.fr/2011ISAM0002.

Full text
Abstract:
Les systèmes infrarouges sont essentiels pour fournir aux forces armées une capacité de reconnaissance des menaces. En contexte opérationnel, ces systèmes sont contraints au temps-réel et à l’accès à des taux de fausses alarmes faibles. Ceci implique la détection des menaces parmi de nombreux objets non-pertinents.Dans ce document, nous combinons des OneClass-SVM pour une décision multiclasse avec rejet(préservant la fausse-alarme). En apprentissage, nous sélectionnons les variables pour contrôler la parcimonie du moteur de décision.Nous présentons également un classifieur original, le Discrim
APA, Harvard, Vancouver, ISO, and other styles
15

Byrne, Evan Michael. "Sparse Multinomial Logistic Regression via Approximate Message Passing." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1437416281.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Sievert, Rolf. "Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison." Thesis, Linköpings universitet, Datorseende, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-175173.

Full text
Abstract:
Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. Land-based litter instance segmentation is a relatively unexplored field, and this study aims to give a comparison of the instance segmentation models Mask R-CNN and DetectoRS using the multiclass litter dataset called Trash Annotations in Context (TACO) i
APA, Harvard, Vancouver, ISO, and other styles
17

Letzner, Josefine. "Analysis of Emergency Medical Transport Datasets using Machine Learning." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215162.

Full text
Abstract:
The selection of hospital once an ambulance has picked up its patient is today decided by the ambulance staff. This report describes a supervised machinelearning approach for predicting hospital selection. This is a multi-classclassification problem. The performance of random forest, logistic regression and neural network were compared to each other and to a baseline, namely the one rule-algorithm. The algorithms were applied to real world data from SOS-alarm, the company that operate Sweden’s emergency call services. Performance was measured with accuracy and f1-score. Random Forest got the b
APA, Harvard, Vancouver, ISO, and other styles
18

Tuma, Carlos Cesar Mansur. "Aprendizado de máquina baseado em separabilidade linear em sistema de classificação híbrido-nebuloso aplicado a problemas multiclasse." Universidade Federal de São Carlos, 2009. https://repositorio.ufscar.br/handle/ufscar/407.

Full text
Abstract:
Made available in DSpace on 2016-06-02T19:05:36Z (GMT). No. of bitstreams: 1 2598.pdf: 3349204 bytes, checksum: 01649491fd1f03aa5a11b9191727f88b (MD5) Previous issue date: 2009-06-29<br>Financiadora de Estudos e Projetos<br>This master thesis describes an intelligent classifier system applied to multiclass non-linearly separable problems called Slicer. The system adopts a low computacional cost supervised learning strategy (evaluated as ) based on linear separability. During the learning period the system determines a set of hyperplanes associated to oneclass regions (sub-spaces). In classif
APA, Harvard, Vancouver, ISO, and other styles
19

Carranza, Alarcón Yonatan Carlos. "Distributionally robust, skeptical inferences in supervised classification using imprecise probabilities." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2567.

Full text
Abstract:
Les décideurs sont souvent confrontés au défi de prendre des décisions précises, sans avoir aucune connaissance de la quantité d’incertitudes que celles-ci peuvent contenir, et en prenant le risque de commettre des erreurs dommageables, voire dramatiques. Dans de telles situations, où l’incertitude est plus élevée due à des informations imparfaites, il peut être plutôt utile de fournir des décisions prudentes, sous la forme d’un ensemble de solutions possibles, plus fiables. Ce travail se concentre donc sur la prise de décisions (ou inférences) sceptiques (ou prudentes) et robustes dans des pr
APA, Harvard, Vancouver, ISO, and other styles
20

Louche, Ugo. "From confusion noise to active learning : playing on label availability in linear classification problems." Thesis, Aix-Marseille, 2016. http://www.theses.fr/2016AIXM4025/document.

Full text
Abstract:
Les travaux présentés dans cette thèse relèvent de l'étude des méthodes de classification linéaires, c'est à dire l'étude de méthodes ayant pour but la catégorisation de données en différents groupes à partir d'un jeu d'exemples, préalablement étiquetés, disponible en amont et appelés ensemble d'apprentissage. En pratique, l'acquisition d'un tel ensemble d'apprentissage peut être difficile et/ou couteux, la catégorisation d'un exemple étant de fait plus ardu que l'obtention de dudit exemple. Cette disparité entre la disponibilité des données et notre capacité à constituer un ensemble d'apprent
APA, Harvard, Vancouver, ISO, and other styles
21

Uppströmer, Viktor, and Henning Råberg. "Detecting Lateral Movement in Microsoft Active Directory Log Files : A supervised machine learning approach." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-18337.

Full text
Abstract:
Cyberattacker utgör ett stort hot för dagens företag och organisationer, med engenomsnittlig kostnad för ett intrång på ca 3,86 miljoner USD. För att minimera kostnaden av ett intrång är det viktigt att detektera intrånget i ett så tidigt stadium som möjligt. Avancerande långvariga hot (APT) är en sofistikerad cyberattack som har en lång närvaro i offrets nätverk. Efter attackerarens första intrång kommer fokuset av attacken skifta till att få kontroll över så många enheter som möjligt på nätverket. Detta steg kallas för lateral rörelse och är ett av de mest kritiska stegen i en APT. Syftet me
APA, Harvard, Vancouver, ISO, and other styles
22

Mittal, Arpit. "Human layout estimation using structured output learning." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:bb290cfd-5216-42d7-b3d2-c2b4b01614bc.

Full text
Abstract:
In this thesis, we investigate the problem of human layout estimation in unconstrained still images. This involves predicting the spatial configuration of body parts. We start our investigation with pictorial structure models and propose an efficient method of model fitting using skin regions. To detect the skin, we learn a colour model locally from the image by detecting the facial region. The resulting skin detections are also used for hand localisation. Our next contribution is a comprehensive dataset of 2D hand images. We collected this dataset from publicly available image sources, and an
APA, Harvard, Vancouver, ISO, and other styles
23

Peel, Thomas. "Algorithmes de poursuite stochastiques et inégalités de concentration empiriques pour l'apprentissage statistique." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4769/document.

Full text
Abstract:
La première partie de cette thèse introduit de nouveaux algorithmes de décomposition parcimonieuse de signaux. Basés sur Matching Pursuit (MP) ils répondent au problème suivant : comment réduire le temps de calcul de l'étape de sélection de MP, souvent très coûteuse. En réponse, nous sous-échantillonnons le dictionnaire à chaque itération, en lignes et en colonnes. Nous montrons que cette approche fondée théoriquement affiche de bons résultats en pratique. Nous proposons ensuite un algorithme itératif de descente de gradient par blocs de coordonnées pour sélectionner des caractéristiques en cl
APA, Harvard, Vancouver, ISO, and other styles
24

Júnior, João Roberto Bertini. "Classificação de dados estacionários e não estacionários baseada em grafos." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-15032011-102039/.

Full text
Abstract:
Métodos baseados em grafos consistem em uma poderosa forma de representação e abstração de dados que proporcionam, dentre outras vantagens, representar relações topológicas, visualizar estruturas, representar grupos de dados com formatos distintos, bem como, fornecer medidas alternativas para caracterizar os dados. Esse tipo de abordagem tem sido cada vez mais considerada para solucionar problemas de aprendizado de máquina, principalmente no aprendizado não supervisionado, como agrupamento de dados, e mais recentemente, no aprendizado semissupervisionado. No aprendizado supervisionado, por out
APA, Harvard, Vancouver, ISO, and other styles
25

Laleye, Frejus Adissa Akintola. "Contributions à l'étude et à la reconnaissance automatique de la parole en Fongbe." Thesis, Littoral, 2016. http://www.theses.fr/2016DUNK0452/document.

Full text
Abstract:
L'une des difficultés d'une langue peu dotée est l'inexistence des services liés aux technologies du traitement de l'écrit et de l'oral. Dans cette thèse, nous avons affronté la problématique de l'étude acoustique de la parole isolée et de la parole continue en Fongbe dans le cadre de la reconnaissance automatique de la parole. La complexité tonale de l'oral et la récente convention de l'écriture du Fongbe nous ont conduit à étudier le Fongbe sur toute la chaîne de la reconnaissance automatique de la parole. En plus des ressources linguistiques collectées (vocabulaires, grands corpus de texte,
APA, Harvard, Vancouver, ISO, and other styles
26

Yeo, Gene, and Tomaso Poggio. "Multiclass Classification of SRBCTs." 2001. http://hdl.handle.net/1721.1/7238.

Full text
Abstract:
A novel approach to multiclass tumor classification using Artificial Neural Networks (ANNs) was introduced in a recent paper cite{Khan2001}. The method successfully classified and diagnosed small, round blue cell tumors (SRBCTs) of childhood into four distinct categories, neuroblastoma (NB), rhabdomyosarcoma (RMS), non-Hodgkin lymphoma (NHL) and the Ewing family of tumors (EWS), using cDNA gene expression profiles of samples that included both tumor biopsy material and cell lines. We report that using an approach similar to the one reported by Yeang et al cite{Yeang2001}, i.e. multiclass class
APA, Harvard, Vancouver, ISO, and other styles
27

Rebuli, Karina Brotto. "Progressive insular cooperative genetic programming algorithm for multiclass classification." Master's thesis, 2020. http://hdl.handle.net/10362/107369.

Full text
Abstract:
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>In contrast to other types of optimisation algorithms, Genetic Programming (GP) simultaneously optimises a group of solutions for a given problem. This group is named population, the algorithm iterations are named generations and the optimisation is named evolution as a reference o the algorithm’s inspiration in Darwin’s theory on the evolution of species. When a GP algorithm uses a one-vs-all class comparison for a multiclass classification (MCC) task, the classifiers
APA, Harvard, Vancouver, ISO, and other styles
28

Park, Sang-Hyeun. "Efficient Decomposition-Based Multiclass and Multilabel Classification." Phd thesis, 2012. http://tuprints.ulb.tu-darmstadt.de/2994/1/diss_shpark.pdf.

Full text
Abstract:
Decomposition-based methods are widely used for multiclass and multilabel classification. These approaches transform or reduce the original task to a set of smaller possibly simpler problems and allow thereby often to utilize many established learning algorithms, which are not amenable to the original task. Even for directly applicable learning algorithms, the combination with a decomposition-scheme may outperform the direct approach, e.g., if the resulting subproblems are simpler (in the sense of learnability). This thesis addresses mainly the efficiency of decomposition-based methods and pro
APA, Harvard, Vancouver, ISO, and other styles
29

Batista, João Eduardo Silva Pombinho. "Studying elements ofgenetic programming for multiclass classification." Master's thesis, 2018. http://hdl.handle.net/10451/35287.

Full text
Abstract:
Tese de mestrado, Engenharia Informática (Interação e Conhecimento) Universidade de Lisboa, Faculdade de Ciências, 2018<br>Although Genetic Programming (GP) has been very successful in both symbolic regression and binary classification by solving many difficult problems from various domains, it requires improvements in multiclass classification, which due to the high complexity of this kind of problems, requires specialized classifiers. In this project, we explored a multiclass classification GP-based algorithm, the M3GP [4]. The individuals in standard GP only have one node at their root. Thi
APA, Harvard, Vancouver, ISO, and other styles
30

Cai, Yu-Ren, and 蔡育仁. "Multiclass machine learning classification of functional brain images." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2bjyz5.

Full text
Abstract:
碩士<br>國立交通大學<br>統計學研究所<br>107<br>Parkinson’s disease (PD) is a long-term degenerative disorder of central nervous system that is prevalent in elderly. It is currently medically diagnosed by functional medical imaging. The typical types of functional brain imaging include Positron emission tomography (PET) and Single Photon Emission Computed Tomography (SPECT). In this study, we use a dataset containing 202 SPECT imaging which is consisted of 6 normal healthy controls and 196 patients with PD. In addition, according to the severity of illness, PD can be divided into 5 stages. The statistica
APA, Harvard, Vancouver, ISO, and other styles
31

Rennie, Jason D. M., and Ryan Rifkin. "Improving Multiclass Text Classification with the Support Vector Machine." 2001. http://hdl.handle.net/1721.1/7241.

Full text
Abstract:
We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full multiclass results on two well-known text data sets, including the lowest error to date on both data sets. We develop a new indicator of binary performance to show that the SVM's lower multiclass error is a result of its improved binary performance. Furthermore, we demonstrate and explore the surprising result that one-vs-all classification performs fa
APA, Harvard, Vancouver, ISO, and other styles
32

Chen, Wei-Ting, and 陳威廷. "Multiclass Support Vector Learning with Applications to Text Classification." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/72634903482497500581.

Full text
Abstract:
碩士<br>義守大學<br>資訊工程學系<br>90<br>ABSTRACT In this thesis, we propose a new method of text classification based on multiclass support vector learning. Support Vector Machines (SVMs) are learning systems that use a hypothesis space of linear functions in a high dimensional feature space, trained with a learning algorithm from optimization theory that implements a learning bias derived from statistical learning theory. With the rapid growth of online information, text classification has become one of the key techniques for handling and organizing text data. Text classification is used
APA, Harvard, Vancouver, ISO, and other styles
33

Chao, Yung-Lin, and 趙永霖. "Multiclass restaurant image classification based on Convolutional Neural Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/kpdv56.

Full text
Abstract:
碩士<br>國立中央大學<br>資訊工程學系<br>107<br>Artificial intelligence and deep learning are now widely used in various fields, For example,image recognition, electronic commerce, or the new media industry... its performance is much higher than the traditional way. In today's online world, restaurants often place photos of restaurants on the Internet for public reference, or Internet celebrities will share the restaurants they have visited to social media such as Instagram and Facebook, but the photos are dazzling and unfocused. So we want to design an application that can properly classify cluttered images
APA, Harvard, Vancouver, ISO, and other styles
34

Sung, Hsiao-Ya, and 宋曉亞. "A Multiclass Classification System Based on Cloud Computing Framework." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/42360915234973114670.

Full text
Abstract:
碩士<br>國立臺灣大學<br>資訊工程學研究所<br>101<br>Multiclass classification is an important issue in biological and biomedical field to find out the useful information hidden in raw data. However, it is hard for human to handle and analyze the data which are huge and complex. It is necessary to process these data through computer science. Therefore, genetic algorithm and support vector machine of machine learning have been introduced in this thesis to select a subset of important features and to use these features to classify unknown data. Furthermore, such a computation intensive job is time consuming. This
APA, Harvard, Vancouver, ISO, and other styles
35

Pao, Yi-Hua, and 包鎰華. "A Dynamic Programming Based Method for Multiclass Classification Problem." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/81371099380632327387.

Full text
Abstract:
碩士<br>國立中山大學<br>機械工程學系研究所<br>91<br>Abstract On the whole, there are two ways to dispose of multiclass classification problem. One is deal it with directly. And the other is dividing it into several binary-class problems. For this reason, it will be simpler as regards individual binary-class problems. And it can improve the accuracy of the multiclass classification problem by reorganize the effect. So how to decompose several binary-class problems is the most important point. Here, based on our study, we use Dynamic Programming as foundation to get the optimal solution of multiclass’s decomposi
APA, Harvard, Vancouver, ISO, and other styles
36

Tsun-Chen, Lin. "Using Genetic Algorithm for Biomarker Discovery in Multiclass Tumor Classification." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0009-2606200601094300.

Full text
APA, Harvard, Vancouver, ISO, and other styles
37

Chen, Po-Lung, and 陳柏龍. "Active Learning for Multiclass Cost-sensitive Classification Using Probabilistic Models." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/65244803215661729379.

Full text
Abstract:
碩士<br>國立臺灣大學<br>資訊工程學研究所<br>100<br>Multiclass cost-sensitive active learning is a relatively new problem. In this thesis, we derive the maximum expected cost and cost-weighted minimum margin strategy for multiclass cost-sensitive active learning. These two strategies can be seem as the extended version of classical cost-insensitive active learning strategies. The experimental results demonstrate that the derived strategies are promising for cost-sensitive active learning. In particular, the cost-sensitive strategies outperform cost-insensitive ones on many benchmark data sets. The results also
APA, Harvard, Vancouver, ISO, and other styles
38

Lin, Tsun-Chen, and 林中誠. "Using Genetic Algorithm for Biomarker Discovery in Multiclass Tumor Classification." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/56173126926491462075.

Full text
Abstract:
博士<br>元智大學<br>資訊工程學系<br>94<br>The recent development of microarray technology allows large-scale parallel measurements for the expression of many thousands of genes and produces gene expression profiles. One of the most promising applications of this vast amount of data is to provide the chance for computational analysis to find genemarkers (predictive genes) for tumor classification on these gene expressions. In this dissertation, based on three classification methods - silhouette statistics, neural networks, and support vector machines, we aim on building up the multi-class tumor classifie
APA, Harvard, Vancouver, ISO, and other styles
39

Tsai, Pei-Shan, and 蔡佩珊. "From CopeOpi Scores to CopeOpi Vectors: Word Vectors for Multiclass Text Classification." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/8u36g3.

Full text
Abstract:
碩士<br>國立交通大學<br>資訊科學與工程研究所<br>106<br>In the era of technology, millions of digital texts are generated every day. To derive useful information from these textual data, text mining has become a popular area of both research and business. One of the most important task of text mining is text classification. In this thesis, we propose a vector space model for multiclass text classification, the word vectors---CopeOpi vectors. We expand CopeOpi scores which are used in Chinese sentiment analysis, to CopeOpi vectors which can be used in multiclass text classification without the language limit. We
APA, Harvard, Vancouver, ISO, and other styles
40

LEE, ZHENG, and 李政. "The Multiclass Classification of Cardiotocographic using Ensemble Methods for Prenatal Fetal Detection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/ak82vm.

Full text
Abstract:
碩士<br>輔仁大學<br>資訊管理學系碩士班<br>107<br>During(When pregnant women in) the stages of labor and giving birth, it’s particularly challenging for obstetrician to capture the information of fetus. In order to evaluate whether the unborn fetus is in good condition, CardiotocoGraphy (CTG) is one of the most ideal diagnostic techniques up till now. This continuous fetal heart rate recording method is also called Electronic Fetal Monitoring (FEM). CTG also records the essential interaction between Fetal heart Rate (FHR) and Uterine Contractions (UC). CTG, used normally in the last 3 months of pregnancy, tha
APA, Harvard, Vancouver, ISO, and other styles
41

Huang, Chiao-Ching, and 黃喬敬. "Hierarchical and Semi-supervised Multiclass Classification based on the Dimension Reduction Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/14273677171596251032.

Full text
Abstract:
博士<br>國立臺灣大學<br>資訊工程學研究所<br>104<br>In this thesis, we introduced the application of supervised dimension reduction method: kernel sliced inverse regression (KSIR) on the domain of multiclass classification and semi-supervised learning. Our method performs robustly in the problems with numerous classes and scared training data. Multiclass classification contains more than two classes and is usually complicated to understand the relation and difficult to classify. Common approaches train numerous classifiers applied on all observations according to their strategies and unidentified relations. We
APA, Harvard, Vancouver, ISO, and other styles
42

Su, Jian-Chi, and 蘇建綺. "Online Learning by SVM for Multiclass Classification in Communication Network Traffic Management." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/78985003628710919608.

Full text
Abstract:
碩士<br>國立交通大學<br>統計學研究所<br>104<br>Supervised learning based on the method of support vector machine (SVM) is very useful for the classification of complex data. However, the computation cost is very high when the training dataset is massive. Online learning problems will need to handle the problems of memory limitation and computational complexity. In this study, the online learning methods by SVM for multiclass problems in massive data are developed. The empirical performance of these methods will be evaluated by real data in communication network traffic management.
APA, Harvard, Vancouver, ISO, and other styles
43

Harish, Guruprasad Ramaswami. "Design and Analysis of Consistent Algorithms for Multiclass Learning Problems." Thesis, 2015. http://etd.iisc.ernet.in/2005/3971.

Full text
Abstract:
We consider the broad framework of supervised learning, where one gets examples of objects together with some labels (such as tissue samples labeled as cancerous or non-cancerous, or images of handwritten digits labeled with the correct digit in 0-9), and the goal is to learn a prediction model which given a new object, makes an accurate prediction. The notion of accuracy depends on the learning problem under study and is measured by a performance measure of interest. A supervised learning algorithm is said to be 'statistically consistent' if it returns an `optimal' prediction model with respe
APA, Harvard, Vancouver, ISO, and other styles
44

Bapat, Tanuja. "Sparse Multiclass And Multi-Label Classifier Design For Faster Inference." Thesis, 2011. http://etd.iisc.ernet.in/handle/2005/2065.

Full text
Abstract:
Many real-world problems like hand-written digit recognition or semantic scene classification are treated as multiclass or multi-label classification prob-lems. Solutions to these problems using support vector machines (SVMs) are well studied in literature. In this work, we focus on building sparse max-margin classifiers for multiclass and multi-label classification. Sparse representation of the resulting classifier is important both from efficient training and fast inference viewpoints. This is true especially when the training and test set sizes are large.Very few of the existing multiclass and mul
APA, Harvard, Vancouver, ISO, and other styles
45

Obermann, Lennart. "Interpretable Binary and Multiclass Prediction Models for Insolvencies and Credit Ratings." Doctoral thesis, 2016. http://hdl.handle.net/11858/00-1735-0000-0028-8779-4.

Full text
Abstract:
Insolvenzprognosen und Ratings sind wichtige Aufgaben der Finanzbranche und dienen der Kreditwürdigkeitsprüfung von Unternehmen. Eine Möglichkeit dieses Aufgabenfeld anzugehen, ist maschinelles Lernen. Dabei werden Vorhersagemodelle aufgrund von Beispieldaten aufgestellt. Methoden aus diesem Bereich sind aufgrund Ihrer Automatisierbarkeit vorteilhaft. Dies macht menschliche Expertise in den meisten Fällen überflüssig und bietet dadurch einen höheren Grad an Objektivität. Allerdings sind auch diese Ansätze nicht perfekt und können deshalb menschliche Expertise nicht gänzlich ersetzen. Sie biete
APA, Harvard, Vancouver, ISO, and other styles
46

Narasimhan, Harikrishna. "Learning with Complex Performance Measures : Theory, Algorithms and Applications." Thesis, 2016. http://etd.iisc.ernet.in/handle/2005/2878.

Full text
Abstract:
We consider supervised learning problems, where one is given objects with labels, and the goal is to learn a model that can make accurate predictions on new objects. These problems abound in applications, ranging from medical diagnosis to information retrieval to computer vision. Examples include binary or multiclass classi cation, where the goal is to learn a model that can classify objects into two or more categories (e.g. categorizing emails into spam or non-spam); bipartite ranking, where the goal is to learn a model that can rank relevant objects above the irrelevant ones (e.g. ranking do
APA, Harvard, Vancouver, ISO, and other styles
47

Asharaf, S. "Efficient Kernel Methods For Large Scale Classification." Thesis, 2007. http://hdl.handle.net/2005/1076.

Full text
Abstract:
Classification algorithms have been widely used in many application domains. Most of these domains deal with massive collection of data and hence demand classification algorithms that scale well with the size of the data sets involved. A classification algorithm is said to be scalable if there is no significant increase in time and space requirements for the algorithm (without compromising the generalization performance) when dealing with an increase in the training set size. Support Vector Machine (SVM) is one of the most celebrated kernel based classification methods used in Machine Learning
APA, Harvard, Vancouver, ISO, and other styles
48

Barros, Ana Rita Amaro. "Classificação automática de registos eletrónicos médicos por diagnóstico." Master's thesis, 2020. http://hdl.handle.net/10071/21974.

Full text
Abstract:
A crescente implementação de sistemas de registos eletrônicos médicos (REM’s) nos Hospitais, com vista a apoiar o atendimento individual dos pacientes, está a provocar um aumento do processamento e armazenamento dos dados clínicos diariamente. Estes registos contêm uma fonte infindável de informação clínica, no entanto o facto de não haver estrutura no texto produzido pelos médicos e o facto das informações introduzidas divergirem de paciente para paciente e de especialidade médica para especialidade médica, dificulta o aproveitamento destes dados. Outra dificuldade que existe na análise
APA, Harvard, Vancouver, ISO, and other styles
49

Pestana, Ana Silva. "Collaborative-demographic hybrid for financial: product recommendation." Master's thesis, 2021. http://hdl.handle.net/10362/113081.

Full text
Abstract:
Internship Report presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics<br>Due to the increased availability of mature data mining and analysis technologies supporting CRM processes, several financial institutions are striving to leverage customer data and integrate insights regarding customer behaviour, needs, and preferences into their marketing approach. As decision support systems assisting marketing and commercial efforts, Recommender Systems applied to the financial domain have been gaining increased attention. This thesis studies
APA, Harvard, Vancouver, ISO, and other styles
50

Posinasetty, Anusha. "Multi-label Classification with Multiple Label Correlation Orders And Structures." Thesis, 2016. http://etd.iisc.ernet.in/2005/3719.

Full text
Abstract:
Multilabel classification has attracted much interest in recent times due to the wide applicability of the problem and the challenges involved in learning a classifier for multilabeled data. A crucial aspect of multilabel classification is to discover the structure and order of correlations among labels and their effect on the quality of the classifier. In this work, we propose a structural Support Vector Machine (structural SVM) based framework which enables us to systematically investigate the importance of label correlations in multi-label classification. The proposed framework is very flex
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography