{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/classification/papers/141","list_of":"/task/classification","task":"General Classification","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":141,"pages_in_order":146,"rows_per_page":100,"rows":[14001,14100],"of":14581,"counts":{"archive_papers_tagged":14581,"with_a_code_link":3945,"where_syntology_ran_a_sample":713,"not_listed_spam_title":0,"listed":14581,"listed_where_code_ran":713,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":153,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":153,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/classification","prev":"/task/classification/papers/140","next":"/task/classification/papers/142","papers":[{"url":null,"slug":"multiple-kernel-learning-for-brain-computer","title":"Multiple Kernel Learning for Brain-Computer Interfacing","date":"2013-10-22","arxiv_id":"1310.6067","repositories_listed":0,"syntology":null},{"url":null,"slug":"ransac-identification-of-higher-order","title":"RANSAC: Identification of Higher-Order Geometric Features and Applications in Humanoid Robot Soccer","date":"2013-10-22","arxiv_id":"1310.5781","repositories_listed":0,"syntology":null},{"url":null,"slug":"devnagari-handwritten-numeral-recognition","title":"Devnagari Handwritten Numeral Recognition using Geometric Features and Statistical Combination Classifier","date":"2013-10-21","arxiv_id":"1310.5619","repositories_listed":0,"syntology":null},{"url":null,"slug":"advances-in-hyperspectral-image","title":"Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods","date":"2013-10-18","arxiv_id":"1310.5107","repositories_listed":0,"syntology":null},{"url":null,"slug":"dictionary-learning-and-sparse-coding-on","title":"Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution","date":"2013-10-18","arxiv_id":"1310.4891","repositories_listed":0,"syntology":null},{"url":null,"slug":"kernel-multivariate-analysis-framework-for","title":"Kernel Multivariate Analysis Framework for Supervised Subspace Learning: A Tutorial on Linear and Kernel Multivariate Methods","date":"2013-10-18","arxiv_id":"1310.5089","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularization-in-relevance-learning-vector","title":"Regularization in Relevance Learning Vector Quantization Using l one Norms","date":"2013-10-18","arxiv_id":"1310.5095","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-classification-for-authorship","title":"Text Classification For Authorship Attribution Analysis","date":"2013-10-18","arxiv_id":"1310.4909","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-systematic-comparison-of-supervised","title":"A systematic comparison of supervised classifiers","date":"2013-10-17","arxiv_id":"1311.0202","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-bayes-optimality-of-f-measure","title":"On the Bayes-optimality of F-measure maximizers","date":"2013-10-17","arxiv_id":"1310.4849","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-classification-using-a-voted-rda","title":"Online Classification Using a Voted RDA Method","date":"2013-10-17","arxiv_id":"1310.5007","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilabel-consensus-classification","title":"Multilabel Consensus Classification","date":"2013-10-16","arxiv_id":"1310.4252","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-sensor-placement-and-enhanced","title":"Optimal Sensor Placement and Enhanced Sparsity for Classification","date":"2013-10-15","arxiv_id":"1310.4217","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-beihang-keystroke-dynamics-authentication","title":"The BeiHang Keystroke Dynamics Authentication System","date":"2013-10-15","arxiv_id":"1310.4485","repositories_listed":0,"syntology":null},{"url":null,"slug":"misfire-detection-in-ic-engine-using-kstar","title":"Misfire Detection in IC Engine using Kstar Algorithm","date":"2013-10-14","arxiv_id":"1310.3717","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-college-basketball-match-outcomes","title":"Predicting college basketball match outcomes using machine learning techniques: some results and lessons learned","date":"2013-10-14","arxiv_id":"1310.3607","repositories_listed":0,"syntology":null},{"url":null,"slug":"distance-weighted-support-vector-machine","title":"Distance-weighted Support Vector Machine","date":"2013-10-11","arxiv_id":"1310.3003","repositories_listed":0,"syntology":null},{"url":null,"slug":"flexible-high-dimensional-classification","title":"Flexible High-dimensional Classification Machines and Their Asymptotic Properties","date":"2013-10-11","arxiv_id":"1310.3004","repositories_listed":0,"syntology":null},{"url":null,"slug":"gibbs-max-margin-topic-models-with-data","title":"Gibbs Max-margin Topic Models with Data Augmentation","date":"2013-10-10","arxiv_id":"1310.2816","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-strategies-for-classifying","title":"Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets","date":"2013-10-08","arxiv_id":"1310.1976","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimization-of-cross-domain-sentiment","title":"Optimization Of Cross Domain Sentiment Analysis Using Sentiwordnet","date":"2013-10-08","arxiv_id":"1401.3230","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-students-performance-using-id3-and","title":"Predicting Students' Performance Using ID3 And C4.5 Classification Algorithms","date":"2013-10-08","arxiv_id":"1310.2071","repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-features-via-generalized","title":"Discriminative Features via Generalized Eigenvectors","date":"2013-10-07","arxiv_id":"1310.1934","repositories_listed":0,"syntology":null},{"url":null,"slug":"mean-field-bayes-backpropagation-scalable","title":"Mean Field Bayes Backpropagation: scalable training of multilayer neural networks with binary weights","date":"2013-10-07","arxiv_id":"1310.1867","repositories_listed":0,"syntology":null},{"url":null,"slug":"moments-and-root-mean-square-error-of-the","title":"Moments and Root-Mean-Square Error of the Bayesian MMSE Estimator of Classification Error in the Gaussian Model","date":"2013-10-05","arxiv_id":"1310.1519","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-clustering-learning-fine","title":"Weakly supervised clustering: Learning fine-grained signals from coarse labels","date":"2013-10-04","arxiv_id":"1310.1363","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-kernel-learning-in-the-primal-for","title":"Multiple Kernel Learning in the Primal for Multi-modal Alzheimer's Disease Classification","date":"2013-10-03","arxiv_id":"1310.0890","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-of-combing-multiple-models","title":"An Empirical Study of Combing Multiple Models in Bengali Question Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-corpora-construction-for-text","title":"Automatic Corpora Construction for Text Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-music-mood-classification-of-hindi","title":"Automatic Music Mood Classification of Hindi Songs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-prediction-of-evidence-based","title":"Automatic Prediction of Evidence-based Recommendations via Sentence-level Polarity Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cascading-collective-classification-for","title":"Cascading Collective Classification for Bridging Anaphora Recognition using a Rich Linguistic Feature Set","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-short-text-classification-based-on","title":"Chinese Short Text Classification Based on Domain Knowledge","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"classifying-traffic-scenes-using-the-gist","title":"Classifying Traffic Scenes Using The GIST Image Descriptor","date":"2013-10-01","arxiv_id":"1310.0316","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-lexicon-based-review-classification","title":"Enhancing Lexicon-Based Review Classification by Merging and Revising Sentiment Dictionaries","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-discourse-analysis-for-article","title":"Exploiting Discourse Analysis for Article-Wide Temporal Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-using-a-semantic-hierarchy","title":"Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"filtering-for-more-accurate-dense-tissue","title":"Filtering for More Accurate Dense Tissue Segmentation in Digitized Mammograms","date":"2013-10-01","arxiv_id":"1310.0305","repositories_listed":0,"syntology":null},{"url":null,"slug":"global-model-for-hierarchical-multi-label","title":"Global Model for Hierarchical Multi-Label Text Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-based-approaches-for-vietnamese","title":"Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lexical-representation-and-classification-of","title":"Lexical Representation and Classification of Eventive Verbs - Polarity and Interaction between Process and State","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-the-helpful-opinion-mining-of-online","title":"Modeling the Helpful Opinion Mining of Online Consumer Reviews as a Classification Problem","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-user-leniency-and-product-popularity","title":"Modeling User Leniency and Product Popularity for Sentiment Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiclass-road-sign-detection-using","title":"Multiclass Road Sign Detection using Multiplicative Kernel","date":"2013-10-01","arxiv_id":"1310.0311","repositories_listed":0,"syntology":null},{"url":null,"slug":"reserved-self-training-a-semi-supervised","title":"Reserved Self-training: A Semi-supervised Sentiment Classification Method for Chinese Microblogs","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-naive-bayes-classifier-for-document","title":"Semantic Na\\\"\\ive Bayes Classifier for Document Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-classification-of-twitter","title":"Semi-supervised Classification of Twitter Messages for Organization Name Disambiguation","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-representation-learning-for-1","title":"Semi-Supervised Representation Learning for Cross-Lingual Text Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-classification-for-movie-reviews-in","title":"Sentiment Classification for Movie Reviews in Chinese Using Parsing-based Methods","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-customization-of-recursive-neural","title":"Simple Customization of Recursive Neural Networks for Semantic Relation Classification","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"source-and-translation-classification-using","title":"Source and Translation Classification using Most Frequent Words","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stance-classification-of-ideological-debates","title":"Stance Classification of Ideological Debates: Data, Models, Features, and Constraints","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"suicidal-tendencies-the-automatic","title":"Suicidal Tendencies: The Automatic Classification of Suicidal and Non-Suicidal Lyricists Using NLP","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-contextual-healthiness-classification","title":"Towards Contextual Healthiness Classification of Food Items - A Linguistic Approach","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-extensive-experimental-study-on-the","title":"An Extensive Experimental Study on the Cluster-based Reference Set Reduction for speeding-up the k-NN Classifier","date":"2013-09-30","arxiv_id":"1309.7750","repositories_listed":0,"syntology":null},{"url":null,"slug":"mpbart-multinomial-probit-bayesian-additive","title":"MPBART - Multinomial Probit Bayesian Additive Regression Trees","date":"2013-09-30","arxiv_id":"1309.7821","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-upper-bound-on-prototype-set-size-for","title":"An upper bound on prototype set size for condensed nearest neighbor","date":"2013-09-29","arxiv_id":"1309.7676","repositories_listed":0,"syntology":null},{"url":null,"slug":"rotationally-invariant-image-representation","title":"Rotationally Invariant Image Representation for Viewing Direction Classification in Cryo-EM","date":"2013-09-29","arxiv_id":"1309.7643","repositories_listed":0,"syntology":null},{"url":null,"slug":"csift-based-locality-constrained-linear","title":"CSIFT Based Locality-constrained Linear Coding for Image Classification","date":"2013-09-28","arxiv_id":"1309.7484","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-statistical-learning-based-system-for-fake","title":"A Statistical Learning Based System for Fake Website Detection","date":"2013-09-27","arxiv_id":"1309.7958","repositories_listed":0,"syntology":null},{"url":null,"slug":"building-bridges-viewing-active-learning-from","title":"Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens","date":"2013-09-26","arxiv_id":"1309.6830","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-documents-with-deep-boltzmann","title":"Modeling Documents with Deep Boltzmann Machines","date":"2013-09-26","arxiv_id":"1309.6865","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-instance-learning-by-discriminative","title":"Multiple Instance Learning by Discriminative Training of Markov Networks","date":"2013-09-26","arxiv_id":"1309.6833","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-kernel-classification-framework-for-metric","title":"A Kernel Classification Framework for Metric Learning","date":"2013-09-23","arxiv_id":"1309.5823","repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-analysis-how-to-derive-prior","title":"Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet","date":"2013-09-23","arxiv_id":"1309.5843","repositories_listed":0,"syntology":null},{"url":null,"slug":"generic-image-classification-approaches-excel","title":"Generic Image Classification Approaches Excel on Face Recognition","date":"2013-09-22","arxiv_id":"1309.5594","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-fisher-discriminant-analysis","title":"Latent Fisher Discriminant Analysis","date":"2013-09-21","arxiv_id":"1309.5427","repositories_listed":0,"syntology":null},{"url":null,"slug":"dgt-tm-a-freely-available-translation-memory","title":"DGT-TM: A freely Available Translation Memory in 22 Languages","date":"2013-09-20","arxiv_id":"1309.5226","repositories_listed":0,"syntology":null},{"url":null,"slug":"jrc-eurovoc-indexer-jex-a-freely-available","title":"JRC EuroVoc Indexer JEX - A freely available multi-label categorisation tool","date":"2013-09-20","arxiv_id":"1309.5223","repositories_listed":0,"syntology":null},{"url":null,"slug":"performance-investigation-of-feature","title":"Performance Investigation of Feature Selection Methods","date":"2013-09-16","arxiv_id":"1309.3949","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-self-organizing-maps-for-sentiment","title":"Using Self-Organizing Maps for Sentiment Analysis","date":"2013-09-16","arxiv_id":"1309.3946","repositories_listed":0,"syntology":null},{"url":null,"slug":"mapping-mutable-genres-in-structurally","title":"Mapping Mutable Genres in Structurally Complex Volumes","date":"2013-09-12","arxiv_id":"1309.3323","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-classification-accuracy-of-multiple","title":"The Classification Accuracy of Multiple-Metric Learning Algorithm on Multi-Sensor Fusion","date":"2013-09-11","arxiv_id":"1309.3006","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-transformations-for-clustering-and","title":"Learning Transformations for Clustering and Classification","date":"2013-09-09","arxiv_id":"1309.2074","repositories_listed":0,"syntology":null},{"url":null,"slug":"convergence-of-nearest-neighbor-pattern","title":"Convergence of Nearest Neighbor Pattern Classification with Selective Sampling","date":"2013-09-06","arxiv_id":"1309.1761","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysing-quality-of-english-hindi-machine","title":"Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification","date":"2013-09-04","arxiv_id":"1309.1129","repositories_listed":0,"syntology":null},{"url":null,"slug":"minutiae-based-thermal-face-recognition-using","title":"Minutiae Based Thermal Face Recognition using Blood Perfusion Data","date":"2013-09-04","arxiv_id":"1309.0999","repositories_listed":0,"syntology":null},{"url":null,"slug":"minutiae-based-thermal-human-face-recognition","title":"Minutiae Based Thermal Human Face Recognition using Label Connected Component Algorithm","date":"2013-09-04","arxiv_id":"1309.1155","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-unsupervised-dictionary-learning","title":"A Study on Unsupervised Dictionary Learning and Feature Encoding for Action Classification","date":"2013-09-02","arxiv_id":"1309.0309","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-boosting-based-algorithm-for-classification","title":"A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-pilot-study-on-the-semantic-classification","title":"A Pilot Study on the Semantic Classification of Two German Prepositions: Combining Monolingual and Multilingual Evidence","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"demodulation-of-sparse-ppm-signals-with-low","title":"Demodulation of Sparse PPM Signals with Low Samples Using Trained RIP Matrix","date":"2013-09-01","arxiv_id":"1309.5854","repositories_listed":0,"syntology":null},{"url":null,"slug":"headerless-quoteless-but-not-hopeless-using","title":"Headerless, Quoteless, but not Hopeless? Using Pairwise Email Classification to Disentangle Email Threads","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-column-deep-neural-networks-for-offline","title":"Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification","date":"2013-09-01","arxiv_id":"1309.0261","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-relation-classification-in-persian","title":"Temporal Relation Classification in Persian and English contexts","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-text-classification-for-romanian","title":"Temporal Text Classification for Romanian Novels set in the Past","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-fine-grained-citation-function","title":"Towards Fine-grained Citation Function Classification","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-the-automatic-classification-of","title":"Towards the automatic classification of complex-type nominals","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-set-based-collaborative-representation","title":"Image Set based Collaborative Representation for Face Recognition","date":"2013-08-30","arxiv_id":"1308.6687","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-conditional-gaussian-network","title":"Bayesian Conditional Gaussian Network Classifiers with Applications to Mass Spectra Classification","date":"2013-08-28","arxiv_id":"1308.6181","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-classification-discriminant","title":"Clustering, Classification, Discriminant Analysis, and Dimension Reduction via Generalized Hyperbolic Mixtures","date":"2013-08-28","arxiv_id":"1308.6315","repositories_listed":0,"syntology":null},{"url":null,"slug":"prediction-of-breast-cancer-recurrence-using","title":"Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping","date":"2013-08-28","arxiv_id":"1308.6324","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-of-distributed-learners-for-online","title":"Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams","date":"2013-08-24","arxiv_id":"1308.5281","repositories_listed":0,"syntology":null},{"url":null,"slug":"decentralized-online-big-data-classification","title":"Decentralized Online Big Data Classification - a Bandit Framework","date":"2013-08-21","arxiv_id":"1308.4565","repositories_listed":0,"syntology":null},{"url":null,"slug":"pace-pattern-accurate-computationally","title":"PACE: Pattern Accurate Computationally Efficient Bootstrapping for Timely Discovery of Cyber-Security Concepts","date":"2013-08-21","arxiv_id":"1308.4648","repositories_listed":0,"syntology":null},{"url":null,"slug":"influences-combination-of-multi-sensor-images","title":"Influences Combination of Multi-Sensor Images on Classification Accuracy","date":"2013-08-20","arxiv_id":"1308.4440","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-study-on-stroke-rehabilitation-through-task","title":"A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI","date":"2013-08-19","arxiv_id":"1308.4017","repositories_listed":0,"syntology":null},{"url":null,"slug":"reference-distance-estimator","title":"Reference Distance Estimator","date":"2013-08-18","arxiv_id":"1308.3818","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiclass-learnability-and-the-erm-principle","title":"Multiclass learnability and the ERM principle","date":"2013-08-13","arxiv_id":"1308.2893","repositories_listed":0,"syntology":null},{"url":null,"slug":"second-order-scattering-descriptors-predict","title":"Second order scattering descriptors predict fMRI activity due to visual textures","date":"2013-08-10","arxiv_id":"1310.1257","repositories_listed":0,"syntology":null}],"record_sha256":"91537c96b2962dc54d7645ee5b80f98400c7eba7cdfb16565839d1dec00ca31a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}