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Thematische Bibliographien / Genre features / Dissertationen

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Dissertationen zum Thema „Genre features“

Autor: Grafiati

Veröffentlicht am 30. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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Brigadoi, Ivan. "Genre classification using syntactic features." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-454667.

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This thesis work adresses text classification in relation to genre identification using different feature sets, with a focus on syntactic based features. We built our models by means of traditional machine learning algorithms, i.e. Naive Bayes, K-nearest neighbour, Support Vector Machine and Random Forest in order to predict the literary genre of books. We trained our models using as feature sets bag-of-words (BOW), bigrams, syntactic-based bigrams and emotional features, as well as combinations of features. Results obtained using the best features, i.e. BOW combined with bigrams based on synt

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To, Kwok-kuen, and 杜國權. "A study of variation theory to enhance students' genre awareness and learning of genre features." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2015. http://hdl.handle.net/10722/212616.

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Reading is an important capability to assist in learning. When students are promoted to higher levels at primary school, they have to read more informative texts instead of narrative texts. A number of studies have indicated that many primary school students have difficulty comprehending informative texts. The ways in which teachers structure lesson content and students experience the lesson are important in helping students understand informative texts in terms of genres and genre features. To help students take on the challenges arising from reading informative texts, teachers play a vita

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Назаренко, Олена В`ячеславівна, Елена Вячеславовна Назаренко, Olena Viacheslavivna Nazarenko, and V. Kadurina. "Genre and stylistic features of modern English discourse of fantasy." Thesis, Sumy State University, 2015. http://essuir.sumdu.edu.ua/handle/123456789/39943.

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Fantasy is a genre of unscientific fiction that is rooted in various kinds of myths, legends, fairy tales, utopias. Fantasy is usually built on the antithesis: good and evil, order and chaos, harmony and dissonance; hero embarks on a journey, fighting for truth and justice. Many stories of this genre take place in imaginary worlds where magic is commonplace.

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Xia, Baiqiang. "Learning 3D geometric features for soft-biometrics recognition." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10132/document.

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La reconnaissance des biomètries douces (genre, âge, etc.)trouve ses applications dans plusieurs domaines. Les approches proposéesse basent sur l’analyse de l’apparence (images 2D), très sensiblesaux changements de la pose et à l’illumination, et surtout pauvre en descriptionsmorphologiques. Dans cette thèse, nous proposons d’exploiterla forme 3D du visage. Basée sur une approche Riemannienne d’analysede formes 3D, nous introduisons quatre descriptions denses à savoir: lasymétrie bilatérale, la moyenneté, la configuration spatiale et les variationslocales de sa forme. Les évaluations faites su

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Buco, Stefani. "The video essay as a persuasive genre: A qualitative genre analysis with a focus on evaluative and persuasive linguistic features." Thesis, Stockholms universitet, Engelska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-159814.

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So called ‘video essays’ on films and cinema have gained substantial popularity on the video sharing internet site YouTube in the past years. This essay explores this relatively recent type of video production from the perspective of genre analysis in order to investigate whether a pattern of form, content and style can be identified, which would suggest the emergence of a new genre. Previous research has investigated a similar genre, the film review, by identifying its pervasive or obligatory moves or stages (Taboada, 2011; de Jong & Burgers, 2013). However, video essays seem to be a rath

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Bernardo, Alexandre. "Features for the Classification and Clustering of Music in Symbolic Format." Master's thesis, Department of Informatics, University of Lisbon, 2008. http://hdl.handle.net/10451/13947.

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Music Information Retrieval is, nowadays, a highly active branch of research and development in the computer science field, and focuses several topics, including music genre classification. The work presented in this paper focus on Track and Genre Classification of music stored using MIDI format, To address the problem of MIDI track classification, we extract a set of descriptors that are used to train a classifier implemented by a Neural Network, based on the pitch levels and durations that describe each track. Tracks are classified into four classes: Melody, Harmony, Bass and Drums. In order

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Motta-Roth, Desiree. "Rhetorical features and disciplinary cultures : a genre-based study of academic book reviews in linguistics, chemistry, and economics." reponame:Repositório Institucional da UFSC, 1995. https://repositorio.ufsc.br/xmlui/handle/123456789/157910.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão<br>Made available in DSpace on 2016-01-08T19:31:47Z (GMT). No. of bitstreams: 1 102608.pdf: 7519023 bytes, checksum: 99c53c81079d4b01202f1fd46fd9d8c8 (MD5) Previous issue date: 1995<br>Investigação das conexões existentes entre retórica e discursos disciplinares, através da análise textual de cento e oitenta resenhas acadêmicas em inglês em lingüística, economia e química, e de entrevistas com editores de resenhas de revistas acadêmicas internacionais em cada área. Exame das diferenças e semelhanças

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Vellala, Abhinay. "Genre-based Video Clustering using Deep Learning : By Extraction feature using Object Detection and Action Recognition." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176942.

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Social media has become an integral part of the Internet. There have been users across the world sharing content like images, texts, videos, and so on. There is a huge amount of data being generated and it has become a challenge to the social media platforms to group the content for further usage like recommending a video. Especially, grouping videos based on similarity requires extracting features. This thesis investigates potential approaches to extract features that can help in determining the similarity between videos. Features of given videos are extracted using Object Detection and Actio

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Ljubomirovic, Marija. "Genredrag i argumenterandetexter : En studie av undervisningens betydelse för eleversskrivande i årskurs 6." Thesis, Linnéuniversitetet, Institutionen för svenska språket (SV), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105426.

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Syftet med denna studie är att undersöka hur undervisning med genrepedagogiska drag påverkar elevers argumenterande texter i åk 6. Studien utgår från tre frågeställningar som ligger till grund för undersökningen. Dessa frågor rör vilka genredrag elever använder i argumenterande texter före undervisning, hur undervisningen genomförs och vilka genredrag elever använder i argumenterande texter efter undervisningen. Materialet för studien baseras på observationer av genrepedagogiskt baserad undervisning och elevtextanalyser av argumenterande texter skrivna av elever i årskurs 6. Till grund för stu

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Однорал, О. А. "Жанрово-стилістичні особливості дискурсу сучасних англомовних казок". Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/52119.

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Дискурс — це складне і важливе поняття в лінгвістиці. Цей термін є багатозначним, але найвлучніше його можна назвати, «мовою, зануреною в життя», тобто мовлення з усіма залученими до нього екстралінгвістичними факторами. Дискурс відображає у собі реальну картину світу і реагує на її зміни. Через дослідження певного дискурсу можна дослідити зміни у мові та мовленні, які зумовлені різноманітними екстралінгвістичними факторами, тобто зовнішніми умовами, що впливають на сказане, прослідкувати за тенденцією цих змін.<br>Дискурс - это сложное и важное понятие в лингвистике. Этот термин является мног

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Zemánková, Šárka. "Rozpoznávání hudebního žánru za pomoci technik Music Information Retrieval." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401988.

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This diploma work deals with music genre recognition using the techniques of Music Information Retrieval. It contains a brief description of the principle of this research area and its subfield called Music Genre Recognition. The following chapter includes selection of the most suitable parameters for describing music genres. This work further characterizes machine learning methods used in this field of research. The next chapter deals with the descriptions of music datasets created for genre classification studies. Subsequently, there is a draft and evaluation of the system for music genre re

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Ericsson, Stina. "Professional and Non-Professional Written Travel Texts – Do They Have Common Features? : A Comparative Investigation on Travel Texts on Trysil, Norway." Thesis, Högskolan Dalarna, Engelska, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:du-21122.

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This study aims to investigate possible distinctions between professional and non-professional written travel texts all treating the same destination: the Norwegian ski resort Trysil. The study will investigate to what extent the different texts correlate with the genre of travel texts, as the travel texts are treated as personal narratives, and how they conform to a given structure for narratives and with guidelines for professional writers. Furthermore, the investigation aims to explore to what extent there are similarities and differences between the texts regarding the given structure. The

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Fishwick, I. "'Conventions are conventions' : some thoughts about the techniques of direction and misdirection, with particular reference to genre features, in the novels of Vladimir Nabokov, and an assessment of their intentions and effects." Thesis, Durham University, 1987. http://etheses.dur.ac.uk/6751/.

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The thesis deals with the development of Nabokov's treatment of a number of the more common routes and courses which are traditionally supplied by the author to ease the passage of the reader through fiction. It attempts to show how these marked paths and familiar signposts - 'melodrama,' 'totalitarian novel,' 'biography,' 'erotic confession,' 'critical edition,' 'family chronicle, 'mystery story,' and 'autobiographical confession' - emerge in the books as equally misguiding and misguided. The satisfactory application of such labels is demonstrated as becoming progressively more difficult as t

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Мозуль, Р. В. "Специфіка і труднощі перекладу роману антиутопії О. Гакслі "Прекрасний, новий світ"". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/81524.

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Мета: 1. Розглянути особливості поняття антиутопії. 2. Дослідити жанрові особливості романів антиутопій. 3. Описати міждисциплінарний підхід до вивчення художнього перекладу. 4. Охарактеризувати труднощі перекладу романів антиутопій. 5. Проаналізувати використання перекладацьких трансформацій при перекладі роману антиутопії О. Гакслі "Прекрасний новий світ". 6. Охарактеризувати труднощі перекладу інтертекстуальних включень роману антиутопії О. Гакслі "Прекрасний новий світ". Теоретичне значення: систематизація особливостей перекладу роману антиутопії О. Гакслі "Прекрасний новий світ".<

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Souza, Jacqueline Aparecida de. "Tipologia de traços linguísticos de textos do português do Brasil dos séculos XVI, XVII, XVIII e XIX: uma proposta para a classificação automática de gêneros textuais." Universidade Federal de São Carlos, 2010. https://repositorio.ufscar.br/handle/ufscar/5698.

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Made available in DSpace on 2016-06-02T20:25:07Z (GMT). No. of bitstreams: 1 3377.pdf: 3546850 bytes, checksum: d15885076635f742d9e61ee253c4d220 (MD5) Previous issue date: 2010-02-26<br>Universidade Federal de Minas Gerais<br>Based on methodological postulates of the Linguistic of corpus and on the genre concepts, proposed by Swales (1990) and Biber (1995), this research intends to describe linguistic traces which are characteristic of historic texts and correlate them to their respective genres, as well as propose a typology of traces so that it is possible to automatically identify the gen

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Miroslav, Radonjić. "Dramski opus Vide Ognjenović u kontekstu savremene srpske dramaturgije i književne tradicije." Phd thesis, Univerzitet u Novom Sadu, Filozofski fakultet u Novom Sadu, 2015. http://www.cris.uns.ac.rs/record.jsf?recordId=94108&source=NDLTD&language=en.

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Намера студије јесте да се целокупни досадашњи драмски опус Виде Огњеновићсагледа у ширем контексту савремене српске драматургије и књижевне традиције. Овакавзадатак подразумева анализу примењеног литерарно-драматуршког поступка, тематско-мотивских одредница, жанровских и стилских особености, језичког израза,карактеризације ликова, односа према историјским, политичким, идеолошким, културним,социјалним и другим друштвеним феноменима. За реализацију тако дефинисаног циљаистраживања, било је неопходно формирати својеврсни координатни систем. Унутарсистема једна оса представља најзначајније ауторе

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Abril, Ferrando Josep Francesc. "Comparative analysis of eukaryotic gene sequence features." Doctoral thesis, Universitat Pompeu Fabra, 2005. http://hdl.handle.net/10803/7108.

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L'incessant augment del nombre de seqüències genòmiques, juntament amb <br/>l'increment del nombre de tècniques experimentals de les que es disposa, <br/>permetrà obtenir el catàleg complet de les funcions cel.lulars de <br/>diferents organismes, incloent-hi la nostra espècie. Aquest catàleg <br/>definirà els fonaments sobre els que es podrà entendre millor com els <br/>organismes funcionen a nivell molecular. Al mateix temps es tindran més <br/>pistes sobre els canvis que estan associats amb les malalties. Per tant, <br/>la seqüència en brut, tal i com s'obté dels projectes de seqüenciació de

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Kabir, Mitra. "Prediction of mammalian essential genes based on sequence and functional features." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/prediction-of-mammalian-essential-genes-based-on-sequence-and-functional-features(cf8eeed5-c2b3-47c3-9a8f-2cc290c90d56).html.

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Essential genes are those whose presence is imperative for an organism's survival, whereas the functions of non-essential genes may be useful but not critical. Abnormal functionality of essential genes may lead to defects or death at an early stage of life. Knowledge of essential genes is therefore key to understanding development, maintenance of major cellular processes and tissue-specific functions that are crucial for life. Existing experimental techniques for identifying essential genes are accurate, but most of them are time consuming and expensive. Predicting essential genes using comput

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Hou, Dezhi. "COMPREHENSIVE EVALUATION COMPOSITE GENE FEATURES IN CANCER OUTCOME PREDICTION." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1386952765.

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Chetry, Roshan. "Web genre classification using feature selection and semi-supervised learning." Kansas State University, 2011. http://hdl.handle.net/2097/8855.

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Master of Science<br>Department of Computing and Information Sciences<br>Doina Caragea<br>As the web pages continuously change and their number grows exponentially, the need for genre classification of web pages also increases. One simple reason for this is given by the need to group web pages into various genre categories in order to reduce the complexities of various web tasks (e.g., search). Experts unanimously agree on the huge potential of genre classification of web pages. However, while everybody agrees that genre classification of web pages is necessary, researchers face problems in fi

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Stabek, Amber. "The effectiveness of using static features in identifying scam genres." Thesis, University of Ballarat, 2010. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/45337.

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Thesis details a cybercrime classification framework stemming from a mixed methodological approach, which is both top down and bottom up and is designed to be multidisciplinary and adaptable across sectors.<br>Master by Research of Mathematical Sciences<br>Variation in scam classification is regularly identified as a primary cause of discrepancy in victim report data resulting in unsuccessful scam identification and insufficient rates of interception by law enforcement, which results in the low prosecution rate of scammers. The result of such discrepancies lead to complex concerns, such as the

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Bystrova-McIntyre, Tatyana. "Cohesion in Translation: A Corpus Study of Human-translated, Machine-translated, and Non-translated Texts (Russian into English)." Kent State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1353451112.

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Johansson, Ida. "Att återberätta glädje : En studie av struktur och språk i fem pojkars personligt återgivande texter." Thesis, Linnéuniversitetet, Institutionen för svenska språket (SV), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-39674.

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The aim of this study is to investigate how five boys in grade 3 of compulsory school structure and use language when they write narrative texts retelling and assessing personally experienced events. This is studied by interpreting how the boys use genre steps that are typical of the structure of personal narrative texts and by detecting and naming different linguistic features in the texts. The material in the study consists of five boys’personal reports and the method, which is based on the theories of genre pedagogy (see Johansson & Sandell Ring 2012:28ff, 223f), comes from systemic fun

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Lawless, Craig. "Prediction of gene function using non-coding features of the genome." Thesis, University of Manchester, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.492846.

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The last 15-20 years have seen an explosion in genome sequencing projects producing an unprecidented amount of data which supports the Identification and mapping of many genes. However, it does not describe their roles within the cell and functional genomics has attempted to discover uncover what these genes do with respect to their biochemical function, (sub)cellular localisation and processes m which they work. However, large proportions of genes within genomes still remain functionally uncharacterised, typically one third of a genome. Common homology-based approaches are arguably at their l

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Gardner, Jason H. "A novel method for finding small highly discriminant gene sets." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/1139.

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In a normal microarray classification problem there will be many genes, on the order of thousands, and few samples, on the order of tens. This necessitates a massive feature space reduction before classification can take place. While much time and effort has gone into evaluating and comparing the performance of different classifiers, less thought has been spent on the problem of efficient feature space reduction. There are in the microarray classification literature several widely used heuristic feature reduction algorithms that will indeed find small feature subsets to classify over. These

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Fiebrink, Rebecca. "An exploration of feature selection as a tool for optimizing musical genre classification /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99372.

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The computer classification of musical audio can form the basis for systems that allow new ways of interacting with digital music collections. Existing music classification systems suffer, however, from inaccuracy as well as poor scalability. Feature selection is a machine-learning tool that can potentially improve both accuracy and scalability of classification. Unfortunately, there is no consensus on which feature selection algorithms are most appropriate or on how to evaluate the effectiveness of feature selection. Based on relevant literature in music information retrieval (MIR) and machin

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O'Brien, Cian John. "Supervised feature learning via sparse coding for music information rerieval." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53615.

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This thesis explores the ideas of feature learning and sparse coding for Music Information Retrieval (MIR). Sparse coding is an algorithm which aims to learn new feature representations from data automatically. In contrast to previous work which uses sparse coding in an MIR context the concept of supervised sparse coding is also investigated, which makes use of the ground-truth labels explicitly during the learning process. Here sparse coding and supervised coding are applied to two MIR problems: classification of musical genre and recognition of the emotional content of music. A variation of

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Kehrein, Kirsten. "Organization of mitochondrial gene expression in yeast : Specific features of organellar protein synthesis." Doctoral thesis, Stockholms universitet, Institutionen för biokemi och biofysik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-107568.

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Mitochondria contain their own genetic system, encoding key subunits of the oxidative phosphorylation system. These subunits are expressed by an organelle-specific gene expression machinery. This work revealed a number of fundamental aspects of mitochondrial gene expression and provides evidence that this process is organized in a unique and organelle-specific manner which likely evolved to optimize protein synthesis and assembly in mitochondria. Most importantly, improving the experimental handling of ribosomes we could show that mitochondrial ribosomes are organized in large assemblies that

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Jarman, Andrew Paul. "Structural features of the human globin gene complexes and their relation to function." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279917.

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Takahashi, Tsuyoshi. "Clinicopathologic Features of Non-Small Cell Lung Cancer with EML4-ALK Fusion Gene." Kyoto University, 2010. http://hdl.handle.net/2433/120559.

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Xia, Tian. "Deep Domain Adaptation Learning Framework for Associating Image Features to Tumour Gene Profile." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/18589.

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While medical imaging and general pathology are routine in cancer diagnosis, genetic sequencing is not always assessable due to the strong phenotypic and genetic heterogeneity of human cancers. Image-genomics integrates medical imaging and genetics to provide a complementary approach to optimise cancer diagnosis by associating tumour imaging traits with clinical data and has demonstrated its potential in identifying imaging surrogates for tumour biomarkers. However, existing image-genomics research has focused on quantifying tumour visual traits according to human understanding, which may not

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Canul, Reich Juana. "An Iterative Feature Perturbation Method for Gene Selection from Microarray Data." Scholar Commons, 2010. https://scholarcommons.usf.edu/etd/1588.

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Gene expression microarray datasets often consist of a limited number of samples relative to a large number of expression measurements, usually on the order of thousands of genes. These characteristics pose a challenge to any classification model as they might negatively impact its prediction accuracy. Therefore, dimensionality reduction is a core process prior to any classification task. This dissertation introduces the iterative feature perturbation method (IFP), an embedded gene selector that iteratively discards non-relevant features. IFP considers relevant features as those which after pe

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Ikeda, Hiroki. "Structural and spatial chromatin features at developmental gene loci in human pluripotent stem cells." Kyoto University, 2018. http://hdl.handle.net/2433/231015.

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Xu, Yaomin. "New Clustering and Feature Selection Procedures with Applications to Gene Microarray Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=case1196144281.

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Ha, Sook Shin. "Dimensionality Reduction, Feature Selection and Visualization of Biological Data." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77169.

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Due to the high dimensionality of most biological data, it is a difficult task to directly analyze, model and visualize the data to gain biological insight. Thus, dimensionality reduction becomes an imperative pre-processing step in analyzing and visualizing high-dimensional biological data. Two major approaches to dimensionality reduction in genomic analysis and biomarker identification studies are: Feature extraction, creating new features by combining existing ones based on a mapping technique; and feature selection, choosing an optimal subset of all features based on an objective function.

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Tan, Feng. "Improving Feature Selection Techniques for Machine Learning." Digital Archive @ GSU, 2007. http://digitalarchive.gsu.edu/cs_diss/27.

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As a commonly used technique in data preprocessing for machine learning, feature selection identifies important features and removes irrelevant, redundant or noise features to reduce the dimensionality of feature space. It improves efficiency, accuracy and comprehensibility of the models built by learning algorithms. Feature selection techniques have been widely employed in a variety of applications, such as genomic analysis, information retrieval, and text categorization. Researchers have introduced many feature selection algorithms with different selection criteria. However, it has been disc

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Steiger, Edgar [Verfasser]. "Efficient Sparse-Group Bayesian Feature Selection for Gene Network Reconstruction / Edgar Steiger." Berlin : Freie Universität Berlin, 2018. http://d-nb.info/1170876633/34.

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Nilsson, Roland. "Statistical Feature Selection : With Applications in Life Science." Doctoral thesis, Linköping : Department of Physcis, Chemistry and Biology, Linköping University, 2007. http://www.bibl.liu.se/liupubl/disp/disp2007/tek1090s.pdf.

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Koskela, R. (Ritva). "Microscopic colitis:clinical features and gastroduodenal and immunogenetic findings." Doctoral thesis, Oulun yliopisto, 2011. http://urn.fi/urn:isbn:9789514294150.

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Abstract The aims of this study were to investigate the clinical features, the endoscopic and histological abnormalities of ileocolonic and gastroduodenal mucosa and immunogenetic background of microscopic colitis (MC) and its subtypes collagenous colitis (CC) and lymphocytic colitis (LC). 30 patients with CC and 54 with LC were examined with different control groups used according to the study. The mean age at diagnosis was in the sixties in both CC and LC, with a female preponderance in both Autoimmune conditions such as celiac diseased (CD) were common in MC. Bronchial asthma associated wit

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Yako, Mary. "Emotional Content in Novels for Literary Genre Prediction : And Impact of Feature Selection on Text Classification Models." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447148.

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Automatic literary genre classification presents a challenging task for Natural Language Processing (NLP) systems, mainly because literary texts have deeper levels of meanings, hold distinctive themes, and communicate certain messages and emotions. We conduct a study where we experiment with building literary genre classifiers based on emotions in novels, to investigate the effects that features pertinent to emotions have on models of genre prediction. We begin by performing an analysis of emotions describing emotional composition and density in the dataset. The experiments are carried out on

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Proudley, Craig William. "The way of the warrior: Realising the mythic warrior-hero in the action genre and in Australian cinema." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116768/9/Craig%20Proudley%20Exegesis.pdf.

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The Way of the Warrior, Realising the Mythic Warrior-hero in the Action genre and in Australian Cinema, is Creative Practice research that pursues detailed analysis of the warrior-hero in Australian and, action genre cinema narratives. Warrior-hero archetypes are employed in the original Australian feature screenplay Behold a Pale Horse in order to address whether it is possible to synthesise the Warrior-hero archetype with the tropes, codes and conventions of the Action genre in an Australian context and create an original screenplay with the potential for both critical and commercial success

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APRILE, ANNAMARIA. "Exploring biological and functional features of HSCs from different sources for gene therapy of β-thalassemia". Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2014. http://hdl.handle.net/2108/203098.

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Gene therapy for inherited diseases affecting the hematopoietic system requires transplantation and engraftment of a high number of autologous genetically engineered hematopoietic stem cells (HSCs). In the context of gene therapy for nonfatal diseases, as thalassemia, a favorable balance between the extent of conditioning of the host bone marrow (BM) and the adequate dose of transduced HSCs needs to be achieved. For adult thalassemic patients, the issue of HSC source is crucial as the minimal target dose poses a challenge for the use of steady-state BM. Peripheral blood (PB) mobilized CD34+ ce

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Frederico, Gustavo Cesar de Souza. "Feature selection and evaluation for genre classification of symbolically encoded classical music with the aid of machine learning." Thesis, University of Ottawa (Canada), 2006. http://hdl.handle.net/10393/27244.

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This work defines useful features for the classification of symbolically encoded music into 14 classical genres namely chorale, symphony, etude, fugue, prelude, contrafactum, sonata, mazurka, motet, sonatina, waltze, concerto, Gregorian chant and scherzo. Features are based on Music Theory and grouped into seven categories: distances in the harmonic mobius strip, distances on the line of fifths, scale, rhythmic syncopation and meter, polyphony measurements, duration and instrumentation. Features are extracted and ranked combining 5 filter-based methods. Six Machine Learning algorithms are defi

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Gillespie, Warwick James. "Video genre classification using compressed domain visual features." Thesis, 2006. https://eprints.utas.edu.au/19833/1/whole_GillespieWarwickJames2006_thesis.pdf.

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With the rapid growth in the prevalence of digital video in the world comes the need for efficient and effective management of such information. The field of content-based video indexing and retrieval aims to achieve this through the automatic recognition of the structure and content of video data and the indexing of both low level formative features and high level semantic features. Two of the main problems facing this field are what low level features can be used, and how to 'bridge the semantic gap' between low level features and high level understanding of a video sequence. In this t

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Wang, Shih-hao, and 王士豪. "Movie Genre Classification Using SVM with Audio and Video Features." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/08553518999297821116.

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碩士<br>國立雲林科技大學<br>資訊工程研究所<br>100<br>In this paper, we propose a movie genre classification system using a meta-heuristic optimization algorithm called Self-Adaptive Harmony Search (i.e., SAHS) to select local features for corresponding movie genres. Then, each one-against-one Support Vector Machine (i.e., SVM) classifier is fed with the corresponding local feature set and the majority voting method is used to determine the prediction of each movie. Totally, we extract 277 features from each movie trailer, including visual and audio features. However, no more than 25 features are used to discri

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Ren, Jia-Min, and 任佳珉. "Discovering discriminative features with applications to music genre/mood classification." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/34999843745963555738.

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博士<br>國立清華大學<br>資訊工程學系<br>101<br>A music piece usually consists of a sequence of sound events which represent both short-term and long-term temporal information. However, in the task of automatic music genre classification, most text-categorization-based approaches only capture temporal local dependencies (e.g., unigram and bigram-based occurrence statistics) to represent music contents. In this dissertation, we propose to use time constrained sequential patterns (TSPs) as effective features for music genre classification. First of all, an automatic language identification technique is perform

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Weir-Sheng, Shih. "Constructing a Movie Genre Classifier Based on Low Level Visual Features." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709300388.

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Shih, Weir-Sheng, and 施維陞. "Constructing a Movie Genre Classifier Based on Low Level Visual Features." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/58181465783716824027.

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碩士<br>國立清華大學<br>電機工程學系<br>94<br>It is hard to achieve the goal that making computer understand a film content, because there are too many events may happen in a film. Since the difficult the film content in computer understanding, we first experiment how the low level visual features can affect a film. Based on some low level visual features have been proposed, we presents a framework for the classification of feature films into genres in this thesis. Our current domain of study is the movie preview. A film preview often emphasizes the theme of a film and hence provides suitable information fo

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Wu, Shao-jing, and 吳紹敬. "The Study of Integrating Temporal and Non-Temporal Features to Classify Music Genre." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/55165865747387087174.

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碩士<br>國立臺南大學<br>資訊工程學系碩士班<br>98<br>This paper proposes a hierarchical music genre classification method integrating both temporal and non-temporal features of music. First of all, music genres are devided into two primary classes based on the difference of global timbre. Then, the concept of audio words are applied to convert the music into sequence of audio words. A transition probability model is derived for each genre by estimating n-grams from the training data and the maximum likelihood estimation is utilized to classify the music. To improve the accuracy, we propose a feature selection m

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吳明儒. "Visual Features for Large-scale Learning: Case Studies on Wafer Map and Music Genre Classification." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/pvpzj4.

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博士<br>國立清華大學<br>資訊工程學系<br>103<br>Increased availability of large-scale datasets has attracted increased academic and industrial attention to large-scale learning. Concurrently, huge growth in demand for smart phones has had a commensurate impact on related industries such as wafer manufacturing and mobile application industries. In the wafer manufacturing industry, increased demand has driven efforts to increase wafer production capacity, in part by reducing failure rates. Wafer map failure pattern recognition (WMFPR), an application of machine vision, can be used to automatically classify waf

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