Relevant bibliographies by topics / N-way classification

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Academic literature on the topic 'N-way classification'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "N-way classification"

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Durante, Caterina, Rasmus Bro, and Marina Cocchi. "A classification tool for N-way array based on SIMCA methodology." Chemometrics and Intelligent Laboratory Systems 106, no. 1 (2011): 73–85. http://dx.doi.org/10.1016/j.chemolab.2010.09.004.

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LIM, VALERIE P. C., SUSAN J. RICKARD LIOW, MICHELLE LINCOLN, YIONG HUAK CHAN, and MARK ONSLOW. "Determining language dominance in English–Mandarin bilinguals: Development of a self-report classification tool for clinical use." Applied Psycholinguistics 29, no. 3 (2008): 389–412. http://dx.doi.org/10.1017/s0142716408080181.

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ABSTRACTIn multilingual Asian communities, determining language dominance for clinical assessment and intervention is often complex. The aim of this study was to develop a self-report classification tool for identifying the dominant language in English–Mandarin bilinguals. Participants (N = 168) completed a questionnaire on language history and single-word receptive vocabulary tests (Peabody Picture Vocabulary Test type) in both languages. The results of a discriminant analysis on the self-report data revealed a reliable three-way classification into English-dominant, Mandarin-dominant, and ba
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Kutsenko, Anton A. "Classification of Integrodifferential C∗-Algebras." Symmetry 13, no. 10 (2021): 1900. http://dx.doi.org/10.3390/sym13101900.

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The infinite product of matrices with integer entries, known as a modified Glimm–Bratteli symbol n, is a new, sufficiently simple, and very powerful tool for the characterization of approximately finite-dimensional (AF) algebras. This symbol provides a convenient algebraic representation of the Bratteli diagram for AF algebras in the same way as was previously performed by J. Glimm for more simple uniformly hyperfinite (UHF) algebras. We apply this symbol to characterize integrodifferential algebras. The integrodifferential algebra FN,M is the C∗-algebra generated by the following operators ac
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Thomas, Hugo, Guillaume Gravier, and Pascale Sébillot. "One-shot relation retrieval in news archives: adapting N-way K-shot relation Classification for efficient knowledge extraction." Procedia Computer Science 246 (2024): 1060–69. http://dx.doi.org/10.1016/j.procs.2024.09.525.

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Son, Taeil, Jiyu Sun, Hyoung-Il Kim, et al. "A proposal for a novel and simple TNM staging for gastric cancer." Journal of Clinical Oncology 35, no. 4_suppl (2017): 21. http://dx.doi.org/10.1200/jco.2017.35.4_suppl.21.

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21 Background: Current TNM staging system for gastric cancer has controversies regarding N classification. We aimed to develop a simple and novel TNM staging system for gastric cancer by re-grouping N classification. Methods: We retrospectively reviewed 14260 patients treated for gastric cancer. To develop simple combinations of TNM staging with similar weighted value between T and N classification, N classification was restructured with different cutoffs. The optimal cutoffs for the number of metastatic lymph node which maximize the x2 statistic of log-rank test for survival differences among
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Yan, Zhenguo, and Yue Wu. "A Neural N-Gram Network for Text Classification." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 3 (2018): 380–86. http://dx.doi.org/10.20965/jaciii.2018.p0380.

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Convolutional Neural Networks (CNNs) effectively extract local features from input data. However, CNN based on word embedding and convolution layers displays poor performance in text classification tasks when compared with traditional baseline methods. We address this problem and propose a model named NNGN that simplifies the convolution layer in the CNN by replacing it with a pooling layer that extracts n-gram embedding in a simpler way and obtains document representations via linear computation. We implement two settings in our model to extract n-gram features. In the first setting, which we
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Heese, Raoul, Jochen Schmid, Michał Walczak, and Michael Bortz. "Calibrated simplex-mapping classification." PLOS ONE 18, no. 1 (2023): e0279876. http://dx.doi.org/10.1371/journal.pone.0279876.

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We propose a novel methodology for general multi-class classification in arbitrary feature spaces, which results in a potentially well-calibrated classifier. Calibrated classifiers are important in many applications because, in addition to the prediction of mere class labels, they also yield a confidence level for each of their predictions. In essence, the training of our classifier proceeds in two steps. In a first step, the training data is represented in a latent space whose geometry is induced by a regular (n − 1)-dimensional simplex, n being the number of classes. We design this represent
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Zhao, Tianna, Yuanjian Zhang, and Duoqian Miao. "Intuitionistic Fuzzy-Based Three-Way Label Enhancement for Multi-Label Classification." Mathematics 10, no. 11 (2022): 1847. http://dx.doi.org/10.3390/math10111847.

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Multi-label classification deals with the determination of instance-label associations for unseen instances. Although many margin-based approaches are delicately developed, the uncertainty classifications for those with smaller separation margins remain unsolved. The intuitionistic fuzzy set is an effective tool to characterize the concept of uncertainty, yet it has not been examined for multi-label cases. This paper proposed a novel model called intuitionistic fuzzy three-way label enhancement (IFTWLE) for multi-label classification. The IFTWLE combines label enhancement with an intuitionisti
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Badmus, Nofiu Idowu, and Rotimi -. "Formulating of Linear Model from One-Way Classification Model." Journal of Statistical Modelling and Analytics 6, no. 2 (2024): 1–10. https://doi.org/10.22452/josma.vol6no2.1.

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This study introduces a novel approach to formulating a linear regression model using a matrix method for Completely Randomized Design (CRD), a type of One-Way classification. In this approach, treatment is the sole classification, and the formulation utilizes response variables organized into rows and columns. The method yields the number of trials (n), slope, predictor, and regression parameters within the system. To ensure the normality of the response variable and select the appropriate error term distribution, we conducted normality tests (Shapiro-Wilk, Anderson-Darling, Cramér-von Mises,
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Gellis, Jason, and Robert Foley. "A novel system for classifying tooth root phenotypes." PLOS ONE 16, no. 11 (2021): e0251953. http://dx.doi.org/10.1371/journal.pone.0251953.

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Human root and canal number and morphology are highly variable, and internal root canal form and count does not necessarily co-vary directly with external morphology. While several typologies and classifications have been developed to address individual components of teeth, there is a need for a comprehensive system, that captures internal and external root features across all teeth. Using CT scans, the external and internal root morphologies of a global sample of humans are analysed (n = 945). From this analysis a method of classification that captures external and internal root morphology in
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Book chapters on the topic "N-way classification"

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Di Nuzzo, Cinzia, and Salvatore Ingrassia. "Three-Way Spectral Clustering." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_13.

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AbstractIn this paper, we present a spectral clustering approach for clustering three-way data. Three-way data concern data characterized by three modes: n units, p variables, and t different occasions. In other words, three-way data contain a t × p observed matrix for each statistical observation. The units generated by simultaneous observation of variables in different contexts are usually structured as three-way data, so each unit is basically represented as a matrix. In order to cluster the n units in K groups, the spectral clustering application to three-way data can be a powerful tool fo
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Shulgina, Anna A., Vasily A. Lukshin, Anton A. Korshunov, Dmitry Yu Usachev, and Igor N. Pronin. "New Classification of the Degree of Cerebrovascular Insufficiency in Patients with Moyamoya Disease Measured According to ASL-MRI Perfusion." In Acta Neurochirurgica Supplement. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-89844-0_15.

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Abstract Introduction: We aimed to classify different degrees of cerebrovascular insufficiency (CVI) in patients with moyamoya disease (MMD) by measuring cerebral blood flow (CBF) and distinguishing arterial transit artifacts (ATAs) on arterial spin labeling (ASL) magnetic resonance imaging (MRI). Methods: The study included 121 images of patients with MMD who underwent ASL-MRI before and after surgical treatment (242 hemispheres). On ASL-CBF maps, regions of interest (ROIs) were manually drawn in each hemisphere in seven zones. Quantitative and qualitative patterns of arterial transit artifac
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Essegbey, James. "Chapter 11. Catching and classifying fish among the Dwang." In Culture and Language Use. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/clu.23.11ess.

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The goal of this chapter is to discuss an endangered fishing practice, and the naming and uses of fish among the Dwang of the Bono East Region of Ghana. I discuss a (defunct) communal fish catching process known as kese /kə́sə́/, in which the poisonous plant Adenia cissampeloises, also called kese by the Dwang, was used to kill the fish and harvest them. I then turn to the Dwang names for six freshwater fish, which is a classification of sorts. I explore the semantics of the fish names, especially their classes, such as ka- for singular versus n- for plural (e.g., káwá/nkáwá), on the one h
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Wardeh Maya, Coenen Frans, and Bench-Capon Trevor. "Arguing in Groups." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2010. https://doi.org/10.3233/978-1-60750-619-5-475.

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We have previously introduced the notion of arguing from experience, whereby agents debate a classification problem using arguments based on association rules mined “on the fly” from their individual datasets. In this paper we extend PISA, which allows for n agents to argue about cases which have n possible classifications. By allowing any number of agents to participate all the agents supporting a given classification can form a collaborative group for the purposes of the dialogue. We describe how the system is organised, give an example, and report results which suggest t
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Kouneli, Maria. "Plural marking on mass nouns." In Gender and Noun Classification. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198828105.003.0011.

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Mass nouns are generally incompatible with plural morphology in number-marking languages. Greek mass nouns, though, can freely pluralize. Chapter 11 shows that the meaning of plural mass nouns in Greek is that of ‘spread over a surface in a disorderly way’. The author argues that plural morphology on mass nouns in the language is the spell-out of number features on the nominalizing head n, unlike plural morphology on count nouns, which spells out the head of the functional projection NumP. She extends this analysis to other languages with plural marking on mass nouns, and argues that plural mo
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Baues, Hans-Joachim. "On the Homotopy Classification of 2-Connected 6-Dimensional Polyhedra." In Homotopy Type and Homology. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198514824.003.0010.

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Abstract In this chapter we describe algebraic models which characterize the homotopy types of 2-connected 6-dimensional polyhedra. Such polyhedra are in the metastable range so that diverse features of ‘quadratic algebra’ are involved in the classification. We proceed in a similar way as in Chapter 8 where we classified (n −1)-connected (n + 3)-dimensional homotopy types which are in the stable range n≥ 4. We apply boundary invariants which, via the classification theorem 3.4.4, yield algebraic classifying data for 2-connected 6- dimensional homotopy types.
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Hackl, Werner O., Sabrina B. Neururer, Stefan Richter, et al. "Development of a Synthetic Oncology Pathology Dataset for Large Language Model Evaluation in Medical Text Classification." In Studies in Health Technology and Informatics. IOS Press, 2025. https://doi.org/10.3233/shti250191.

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Background: Large Language Models (LLMs) offer promising applications in oncology pathology report classification, improving efficiency, accuracy, and automation. However, the use of real patient data is restricted due to legal and ethical concerns, necessitating privacy-compliant alternatives. Objectives: This study aimed to develop a synthetic oncology pathology dataset to serve as a benchmark for LLM evaluation, enabling reproducible and privacy-preserving AI research. Methods: A total of 227 synthetic pathology reports were generated using Microsoft Copilot, ChatGPT Plus, and Perplexity Pr
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Hemion, Geoffrey. "Small curves." In The Classification of Knots and 3-Dimensional Spaces. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198596974.003.0019.

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Abstract How can we prove that there is a number such as N of the previous chapter, which gives us a limit on the size of possible conjugating homeomorphisms which are to be investigated? Again, this question is too difficult to answer directly. The trick which I used was to first prove that a ‘small’ closed curve c must exist on the surface S. Now the idea of smallness is easy to define for curves on S. Let c be some arbitrary curve on S. The curve will be assumed to be closed, in the sense that its starting point is the same as its endpoint. Put another way, c is a mapping of the circle (the
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Bachrach, Asaf, and Andrew Nevins. "Introduction: Approaching inflectional identity." In Inflectional Identity. Oxford University PressOxford, 2008. http://dx.doi.org/10.1093/oso/9780199219254.003.0001.

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Abstract The topic of this volume is inflectional identity. We group together under the term inflectional the morphological markers that participate in a “paradigmatically-related” alternation to express case, person, number, gender, or class distinctions. Identity covers and classifies a range of identity and similarity relations among the phonological form of these items. We refer, informally, to any n-way classification of verbal or nominal inflection as a paradigm, where the two (or more) dimensions could be tense and agreement (on verbs) or conjugation class and case (on nouns).
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Thomer, Andrea K., Morgan F. Wofford, Michael C. Lenard, Socorro Dominguez Vidana, and Simon J. Goring. "Revealing Earth science code and data-use practices using the Throughput Graph Database." In Recent Advancement in Geoinformatics and Data Science. Geological Society of America, 2023. http://dx.doi.org/10.1130/2022.2558(10).

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ABSTRACT The increased use of complex programmatic workflows and open data within the Earth sciences has led to an increase in the need to find and reuse code, whether as examples, templates, or code snippets that can be used across projects. The “Throughput Graph Database” project offers a platform for discovery that links research objects by using structured annotations. Throughput was initially populated by scraping GitHub for code repositories that reference the names or URLs of data archives listed on the Registry of Research Data Repositories (https://re3data.org). Throughput annotations
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Conference papers on the topic "N-way classification"

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S, Tilak Bala, and Rajeswari M. "Innovative Financial Fraud Detection: Combining GCRNN and DiffPool with N-Way K-Shot Classification Techniques." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841755.

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Loebman, S., R. Roškar, Ž Ivezić, et al. "SDSS Observations of the Milky Way vs. N-body Models: A Comparison of Stellar Distributions in the Position-Velocity-Metallicity Space." In CLASSIFICATION AND DISCOVERY IN LARGE ASTRONOMICAL SURVEYS: Proceedings of the International Conference: “Classification and Discovery in Large Astronomical Surveys”. AIP, 2008. http://dx.doi.org/10.1063/1.3059055.

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Abbas, Syed Manzar, Khubaib Amjad Alam, and Kwang-Man Ko. "A Three-way Classification with Game-theoretic N-Soft Sets for Handling Missing Ratings in Context-aware Recommender Systems." In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2020. http://dx.doi.org/10.1109/fuzz48607.2020.9177701.

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Kojić, Nenad, Mladen Petrović, and Natalija Vugdelija. "Dynamic Generation of Website Content Based on User Segmentation Using Artificial Intelligence." In Sixth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/itema.2022.17.

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The aim of this work is the segmentation of website users on the basis of artificial intelligence with the aim of dynamically modifying the content of the website for users, in accordance with the objectives of Web 4.0, and in this way enabling quick and optimal display of content follow­ing their needs. User classification will be based on click events on catego­ries/subcategories and articles. Based on that information, using Konon­en’s neural network, the user will be classified into one of the n categories to which the neural network was initially trained. Based on the detected type of the
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Wu, Junran, Shangzhe Li, Jianhao Li, Yicheng Pan, and Ke Xu. "A Simple yet Effective Method for Graph Classification." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/497.

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In deep neural networks, better results can often be obtained by increasing the complexity of previously developed basic models. However, it is unclear whether there is a way to boost performance by decreasing the complexity of such models. Intuitively, given a problem, a simpler data structure comes with a simpler algorithm. Here, we investigate the feasibility of improving graph classification performance while simplifying the learning process. Inspired by structural entropy on graphs, we transform the data sample from graphs to coding trees, which is a simpler but essential structure for gr
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Berghauser Pont, Meta, and Jesper Olsson. "Typology based on three density variables central to Spacematrix using cluster analysis." In 24th ISUF 2017 - City and Territory in the Globalization Age. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/isuf2017.2017.5319.

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Since the publication of the book ‘Spacematrix. Space, density and urban form’ (Berghauser Pont and Haupt, 2010), the Spacematrix method has been linked back to its theoretical foundations by Steadman (2013), is further developed using the measure of accessible density to arrive at a density measure that more closely relates to the environment as experienced by people moving through the city (Berghauser Pont and Marcus, 2014) which then is used to arrive at a multi-scalar density typology (Berghauser Pont et al. 2017). This paper will take yet another step in the development of the Spacematrix
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Bigot, Fabien, and Stéphanie Mougin. "Spectral Fatigue Analysis of Plate Surface Hot-Spots: A Practical Solution to the Stress Direction Issue." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18490.

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Abstract Spectral Fatigue Analysis using coupled hydrodynamics and finite element models has now become a common practice for the fatigue strength assessment of offshore units, with established procedures given in Classification Rules. However, users are facing a practical issue that is almost never mentioned in the procedures. Indeed, many fatigue hot-spots are located on a plate surface, as opposed to plate edges. For such hot-spots, the finite element model results are the three components of the plane-stress stress tensor. Therefore, the outcome of the Spectral Fatigue Analysis is a set of
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Castro, Gustavo F. C. de, and Renato Tinós. "K-Nearest Neighbors based on the Nk Interaction Graph." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2022. http://dx.doi.org/10.5753/eniac.2022.227174.

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The K-Nearest Neighbors (KNN) is a simple and intuitive nonparametric classification algorithm. In KNN, the K nearest neighbors are determined according to the distance to the example to be classified. Generally, the Euclidean distance is used, which facilitates the formation of hyper-ellipsoid clusters. In this work, we propose using the Nk interaction graph to return the K-nearest neighbors in KNN. The Nk interaction graph, originally used in clustering, is built based on the distance between examples and spatial density in small groups formed by k examples of the training dataset. By using
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Daver, D. I. "Innovations in Organizational Psychology: Inventory of Significant Work Beliefs." In V International Scientific Conference «MIP-V-2023: Modernization, Innovations, Progress». Krasnoyarsk Science and Technology City Hall, 2023. http://dx.doi.org/10.47813/mip.5.2023.9.136-141.

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Digitalization has changed the way we live and do business. Effective personnel management is impossible without taking into account the peculiarities caused by these changes. Having influenced the beliefs, values and meanings of the new generation, digitalization has set new challenges for the human resources management function. According to recent research on organizational development, there is a significant difference in effective methods of human resource management with an emphasis on characteristics of generations. According to the research of V.I. Pishchik, the meanings and values of
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Draayer, Bret, Gary W. Carhart, and Michael K. Giles. "Optical recognition via Bayesian classification: system performance." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.thaa2.

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Given a collection of training images (TIs) to be recognized and a set of filters designed to represent the TIs, a recognition system based on the Bayes likelihood ratio test typically requires a calibration data set to provide an estimate of each probability distribution residing in the signal space. In order to make use of all the correlations evaluated, the dimension of the signal space should be set equal to the product of the number of filters (N f ) and the number of components required by the correlation metric (N m ). Responses are thus N-dimensional vectors (where N = N f N m ), and c
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Reports on the topic "N-way classification"

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Teague, Judy, Gary Fleming, Kirsten Hazler, Lindsey Smart, and Tom Govus. Baseline vegetation mapping of National Capital Region parks in Maryland, Virginia, West Virginia, and the District of Columbia: Part 1?final report. National Park Service, 2024. http://dx.doi.org/10.36967/2304343.

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The National Park Service (NPS) National Capital Region (NCR), the Virginia Natural Heritage Program (VANHP), NatureServe, and Natural Heritage Programs in Maryland, Pennsylvania, and West Virginia, completed the vegetation classification and mapping of eleven parks, totaling 29,968 hectares (74,053 acres) in the NPS NCR. Upon the completion of the vegetation characterization and mapping, NatureServe finalized this process by conducting a thematic accuracy assessment of the resulting the vegetation map. Field observations were collected at 1,561 locations across the eleven parks to analyze the
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Ley, Matt, Tom Baldvins, David Jones, Hanna Pilkington, and Kelly Anderson. Vegetation classification and mapping: Gulf Islands National Seashore. National Park Service, 2023. http://dx.doi.org/10.36967/2299028.

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The Gulf Islands National Seashore (GUIS) vegetation inventory project classified and mapped vegetation on park-owned lands within the administrative boundary and estimated thematic map accuracy quantitatively. The project began in June 2016. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetin
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Ley, Matt, Tom Baldvins, Hannah Pilkington, David Jones, and Kelly Anderson. Vegetation classification and mapping project: Big Thicket National Preserve. National Park Service, 2024. http://dx.doi.org/10.36967/2299254.

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The Big Thicket National Preserve (BITH) vegetation inventory project classified and mapped vegetation within the administrative boundary and estimated thematic map accuracy quantitatively. National Park Service (NPS) Vegetation Mapping Inventory Program provided technical guidance. The overall process included initial planning and scoping, imagery procurement, vegetation classification field data collection, data analysis, imagery interpretation/classification, accuracy assessment (AA), and report writing and database development. Initial planning and scoping meetings took place during May, 2
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Edwards, Mervyn, Matthias Seidl, and Alix Edwards. GB LSAV Approval Scheme: Non-ADS requirements D7.1. TRL, 2022. http://dx.doi.org/10.58446/dxiy5599.

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The UK government are committed to bringing forward legislation to allow the safe and secure deployment of self-driving vehicles. As part of the CAVPASS programme, TRL was commissioned to propose approaches to vehicle classification, and suitable technical requirements for aspects not related to the Automated Driving System (ADS). These included crashworthiness, occupant protection, protection of vulnerable Road Users (VRUs), and the lighting, braking and steering systems. The focus of this study was on Low-Speed Automated Vehicles (LSAVs). It involved selection and adaptation of existing pre-
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Ogunbire, Abimbola, Panick Kalambay, Hardik Gajera, and Srinivas Pulugurtha. Deep Learning, Machine Learning, or Statistical Models for Weather-related Crash Severity Prediction. Mineta Transportation Institute, 2023. http://dx.doi.org/10.31979/mti.2023.2320.

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Nearly 5,000 people are killed and more than 418,000 are injured in weather-related traffic incidents each year. Assessments of the effectiveness of statistical models applied to crash severity prediction compared to machine learning (ML) and deep learning techniques (DL) help researchers and practitioners know what models are most effective under specific conditions. Given the class imbalance in crash data, the synthetic minority over-sampling technique for nominal (SMOTE-N) data was employed to generate synthetic samples for the minority class. The ordered logit model (OLM) and the ordered p
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