{"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/type/papers/6","list_of":"/task/type","task":"Vocal Bursts Type Prediction","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":6,"pages_in_order":7,"rows_per_page":100,"rows":[501,600],"of":675,"counts":{"archive_papers_tagged":675,"with_a_code_link":155,"where_syntology_ran_a_sample":16,"not_listed_spam_title":0,"listed":675,"listed_where_code_ran":16,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":14,"every_run_a_failure_of_syntologys_instrument":2,"listed_with_a_run_with_no_instrument_failure":14,"listed_every_run_a_failure_of_syntologys_instrument":2,"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/type","prev":"/task/type/papers/5","next":"/task/type/papers/7","papers":[{"url":null,"slug":"mining-possessions-existence-type-and","title":"Mining Possessions: Existence, Type and Temporal Anchors","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-convolutional-neural-networks-for-map","title":"Deep Convolutional Neural Networks for Map-Type Classification","date":"2018-05-26","arxiv_id":"1805.10402","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-corpus-of-drug-usage-guidelines-annotated","title":"A Corpus of Drug Usage Guidelines Annotated with Type of Advice","date":"2018-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-wikipedia-into-a-large-scale","title":"Transforming Wikipedia into a Large-Scale Fine-Grained Entity Type Corpus","date":"2018-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-mre11-a470-alleles-influence-the","title":"The mre11 A470 Alleles Influence the. Heritability and Segregation of Telosomes in Saccharomyces cerevisiae","date":"2018-04-30","arxiv_id":"1705.06595","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-mre11-a470-alleles-influence-the-1","title":"The mre11 A470 alleles influence the hereditability and the segregation of telosomes in Saccharomyces cerevisiae (original with corrected raw data)","date":"2018-04-26","arxiv_id":"1804.10529","repositories_listed":0,"syntology":null},{"url":null,"slug":"chart-parsing-multimodal-grammars","title":"Chart Parsing Multimodal Grammars","date":"2018-04-06","arxiv_id":"1804.02286","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-type-guided-attention-in-visual","title":"Question Type Guided Attention in Visual Question Answering","date":"2018-04-06","arxiv_id":"1804.02088","repositories_listed":0,"syntology":null},{"url":null,"slug":"handling-verb-phrase-anaphora-with-dependent","title":"Handling Verb Phrase Anaphora with Dependent Types and Events","date":"2018-03-28","arxiv_id":"1803.10421","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-resourceful-reframing-of-behavior-trees","title":"A Resourceful Reframing of Behavior Trees","date":"2018-03-24","arxiv_id":"1803.09099","repositories_listed":0,"syntology":null},{"url":null,"slug":"extended-gini-type-measures-of-risk-and","title":"Extended Gini-type measures of risk and variability","date":"2018-03-20","arxiv_id":"1707.07322","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-detection-of-abnormal-ads-in-mutant","title":"Bayesian Detection of Abnormal ADS in Mutant Caenorhabditis elegans Embryos","date":"2018-03-13","arxiv_id":"1803.04640","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-architectures-for-open-type-relation","title":"Neural Architectures for Open-Type Relation Argument Extraction","date":"2018-03-05","arxiv_id":"1803.01707","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-tumor-type-classification-via-capsule","title":"Brain Tumor Type Classification via Capsule Networks","date":"2018-02-27","arxiv_id":"1802.10200","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quality-type-aware-annotated-corpus-and","title":"A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research","date":"2018-02-26","arxiv_id":"1802.09416","repositories_listed":0,"syntology":null},{"url":null,"slug":"behavioral-clinical-phenotyping-with-type-2","title":"Behavioral-clinical phenotyping with type 2 diabetes self-monitoring data","date":"2018-02-23","arxiv_id":"1802.08761","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridge-type-classification-supervised","title":"Bridge type classification: supervised learning on a modified NBI dataset","date":"2018-02-12","arxiv_id":"1803.04478","repositories_listed":0,"syntology":null},{"url":null,"slug":"neyman-pearson-classification-parametrics-and","title":"Neyman-Pearson classification: parametrics and sample size requirement","date":"2018-02-07","arxiv_id":"1802.02557","repositories_listed":0,"syntology":null},{"url":null,"slug":"spiking-memristor-logic-gates-are-a-type-of","title":"Spiking memristor logic gates are a type of time-variant perceptron","date":"2018-01-08","arxiv_id":"1801.02508","repositories_listed":0,"syntology":null},{"url":null,"slug":"mapping-wordnet-concepts-with-cpa-ontology","title":"Mapping WordNet Concepts with CPA Ontology","date":"2018-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"concentration-of-weakly-dependent-banach","title":"Concentration of weakly dependent Banach-valued sums and applications to statistical learning methods","date":"2017-12-05","arxiv_id":"1712.01934","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-use-of-shatter-for-allsat","title":"Exploring the Use of Shatter for AllSAT Through Ramsey-Type Problems","date":"2017-11-17","arxiv_id":"1711.06362","repositories_listed":0,"syntology":null},{"url":null,"slug":"regret-bounds-and-regimes-of-optimality-for","title":"Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering","date":"2017-11-06","arxiv_id":"1711.02198","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-type-logical-approach-to-potential","title":"A Type-Logical Approach to Potential Consructions in Japanese","date":"2017-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficiency-aware-answering-of-compositional","title":"Efficiency-aware Answering of Compositional Questions using Answer Type Prediction","date":"2017-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mutants-and-residents-with-different","title":"An extension of the Moran process using type-specific connection graphs","date":"2017-10-19","arxiv_id":"1710.07365","repositories_listed":0,"syntology":null},{"url":null,"slug":"manifold-regularization-based-on-nystrom-type","title":"Manifold regularization based on Nystr{ö}m type subsampling","date":"2017-10-13","arxiv_id":"1710.04872","repositories_listed":0,"syntology":null},{"url":null,"slug":"newton-type-methods-for-inference-in-higher","title":"Newton-type Methods for Inference in Higher-Order Markov Random Fields","date":"2017-09-05","arxiv_id":"1709.01237","repositories_listed":0,"syntology":null},{"url":null,"slug":"formalising-type-logical-grammars-in-agda","title":"Formalising Type-Logical Grammars in Agda","date":"2017-09-03","arxiv_id":"1709.00728","repositories_listed":0,"syntology":null},{"url":null,"slug":"classifier-stacking-for-native-language","title":"Classifier Stacking for Native Language Identification","date":"2017-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"idiom-type-identification-with-smoothed","title":"Idiom Type Identification with Smoothed Lexical Features and a Maximum Margin Classifier","date":"2017-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-type-aware-entity-retrieval","title":"On Type-Aware Entity Retrieval","date":"2017-08-28","arxiv_id":"1708.08291","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ensemble-classifier-for-predicting-the","title":"An Ensemble Classifier for Predicting the Onset of Type II Diabetes","date":"2017-08-24","arxiv_id":"1708.07480","repositories_listed":0,"syntology":null},{"url":null,"slug":"newton-type-methods-for-non-convex","title":"Newton-Type Methods for Non-Convex Optimization Under Inexact Hessian Information","date":"2017-08-23","arxiv_id":"1708.07164","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizations-of-szpilrajn-s-theorem-in","title":"Generalizations of Szpilrajn's Theorem in economic and game theories","date":"2017-08-15","arxiv_id":"1708.04711","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-abusive-comment-moderation-with-user","title":"Improved Abusive Comment Moderation with User Embeddings","date":"2017-08-11","arxiv_id":"1708.03699","repositories_listed":0,"syntology":null},{"url":null,"slug":"differentially-private-chi-squared-test-by","title":"Differentially Private Chi-squared Test by Unit Circle Mechanism","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"forest-type-regression-with-general-losses","title":"Forest-type Regression with General Losses and Robust Forest","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"privit-private-and-sample-efficient-identity-1","title":"Priv’IT: Private and Sample Efficient Identity Testing","date":"2017-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"target-type-identification-for-entity-bearing","title":"Target Type Identification for Entity-Bearing Queries","date":"2017-07-27","arxiv_id":"1705.06056","repositories_listed":0,"syntology":null},{"url":null,"slug":"good-signals-gone-bad-dynamic-signalling-with","title":"Good signals gone bad: dynamic signalling with switching efforts","date":"2017-07-15","arxiv_id":"1707.04699","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-multilingual-named-entity","title":"Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping","date":"2017-07-08","arxiv_id":"1707.02459","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-knowledge-graph-embeddings-with-type","title":"Learning Knowledge Graph Embeddings with Type Regularizer","date":"2017-06-28","arxiv_id":"1706.09278","repositories_listed":0,"syntology":null},{"url":null,"slug":"development-of-a-n-type-gm-phd-filter-for","title":"Development of a N-type GM-PHD Filter for Multiple Target, Multiple Type Visual Tracking","date":"2017-05-31","arxiv_id":"1706.00672","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-discovery-of-type-classes-and","title":"Dynamic Discovery of Type Classes and Relations in Semantic Web Data","date":"2017-05-31","arxiv_id":"1706.02591","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-type-of-neurons-for-machine-learning","title":"A New Type of Neurons for Machine Learning","date":"2017-04-26","arxiv_id":"1704.08362","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-grained-entity-typing-with-high","title":"Fine-Grained Entity Typing with High-Multiplicity Assignments","date":"2017-04-25","arxiv_id":"1704.07751","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-construction-of-probabilistic-newton","title":"On the construction of probabilistic Newton-type algorithms","date":"2017-04-05","arxiv_id":"1704.01382","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-typing-of-big-graphs-using","title":"Supervised Typing of Big Graphs using Semantic Embeddings","date":"2017-03-22","arxiv_id":"1703.07805","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalized-self-concordant-functions-a","title":"Generalized Self-Concordant Functions: A Recipe for Newton-Type Methods","date":"2017-03-14","arxiv_id":"1703.04599","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-inference-on-multivariate-and-mixed","title":"Causal Inference on Multivariate and Mixed-Type Data","date":"2017-02-21","arxiv_id":"1702.06385","repositories_listed":0,"syntology":null},{"url":null,"slug":"phase-type-approximation-of-the-gerber-shiu","title":"Phase-type Approximation of the Gerber-Shiu Function","date":"2017-01-10","arxiv_id":"1701.02798","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-wasserstein-1-type-metrics","title":"A Framework for Wasserstein-1-Type Metrics","date":"2017-01-08","arxiv_id":"1701.01945","repositories_listed":0,"syntology":null},{"url":null,"slug":"noise-mitigation-for-neural-entity-typing-and","title":"Noise Mitigation for Neural Entity Typing and Relation Extraction","date":"2016-12-22","arxiv_id":"1612.07495","repositories_listed":0,"syntology":null},{"url":null,"slug":"factored-contextual-policy-search-with","title":"Factored Contextual Policy Search with Bayesian Optimization","date":"2016-12-06","arxiv_id":"1612.01746","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-type-ii-fuzzy-logic-based-controller","title":"A New Type-II Fuzzy Logic Based Controller for Non-linear Dynamical Systems with Application to a 3-PSP Parallel Robot","date":"2016-12-05","arxiv_id":"1612.01399","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathematical-information-retrieval-based-on","title":"Mathematical Information Retrieval based on Type Embeddings and Query Expansion","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tasty-interactive-entity-linking-as-you-type","title":"TASTY: Interactive Entity Linking As-You-Type","date":"2016-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-image-reconstruction-from-x-ray","title":"3D Image Reconstruction from X-Ray Measurements with Overlap","date":"2016-11-22","arxiv_id":"1611.07390","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-approach-to-type-specific-conic","title":"A Bayesian approach to type-specific conic fitting","date":"2016-11-19","arxiv_id":"1611.06296","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-semantic-parsing-via-answer-type","title":"Improving Semantic Parsing via Answer Type Inference","date":"2016-11-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-identifying-entity-type-in-linked","title":"Automatic Identifying Entity Type in Linked Data","date":"2016-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-opposites-using-neural-networks","title":"Learning Opposites Using Neural Networks","date":"2016-09-16","arxiv_id":"1609.05123","repositories_listed":0,"syntology":null},{"url":null,"slug":"crts-a-type-system-for-representing-clinical","title":"CRTS: A type system for representing clinical recommendations","date":"2016-09-06","arxiv_id":"1609.01592","repositories_listed":0,"syntology":null},{"url":null,"slug":"modal-subordination-in-type-theoretic-dynamic","title":"Modal Subordination in Type Theoretic Dynamic Logic","date":"2016-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-visual-type-theory-as-a-mathematical","title":"Towards Visual Type Theory as a Mathematical Tool and Mathematical User Interface","date":"2016-08-10","arxiv_id":"1608.03026","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-vector-model-for-type-theoretical-semantics","title":"A Vector Model for Type-Theoretical Semantics","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"jedi-joint-entity-and-relation-detection","title":"JEDI: Joint Entity and Relation Detection using Type Inference","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-selectional-restrictions-in-a","title":"Modeling selectional restrictions in a relational type system","date":"2016-07-28","arxiv_id":"1607.08592","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-prediction-of-temporal-relations","title":"Automated Prediction of Temporal Relations","date":"2016-07-22","arxiv_id":"1607.06560","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-exponentiated-gumbel-type-2-distribution","title":"The Exponentiated Gumbel Type-2 Distribution: Properties and Application","date":"2016-07-10","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ground-truth-bias-in-external-cluster","title":"Ground Truth Bias in External Cluster Validity Indices","date":"2016-06-17","arxiv_id":"1606.05596","repositories_listed":0,"syntology":null},{"url":null,"slug":"proceedings-first-international-workshop-on","title":"Proceedings First International Workshop on Hammers for Type Theories","date":"2016-06-17","arxiv_id":"1606.05427","repositories_listed":0,"syntology":null},{"url":null,"slug":"critical-echo-state-networks-that-anticipate","title":"Critical Echo State Networks that Anticipate Input using Morphable Transfer Functions","date":"2016-06-12","arxiv_id":"1606.03674","repositories_listed":0,"syntology":null},{"url":null,"slug":"answer-type-prediction-for-visual-question","title":"Answer-Type Prediction for Visual Question Answering","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"4couv-a-new-treebank-for-french","title":"4Couv: A New Treebank for French","date":"2016-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"joining-in-type-humanoid-robot-assisted","title":"Joining-in-type Humanoid Robot Assisted Language Learning System","date":"2016-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-attentive-neural-architecture-for-fine","title":"An Attentive Neural Architecture for Fine-grained Entity Type Classification","date":"2016-04-19","arxiv_id":"1604.05525","repositories_listed":0,"syntology":null},{"url":null,"slug":"protein-sequestration-versus-hill-type","title":"Protein sequestration versus Hill-type repression in circadian clock models","date":"2016-04-12","arxiv_id":"1604.03591","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-robust-autoassociative-memory-with-coupled","title":"A robust autoassociative memory with coupled networks of Kuramoto-type oscillators","date":"2016-04-07","arxiv_id":"1604.02085","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-discriminative-features-using","title":"Learning Discriminative Features using Encoder-Decoder type Deep Neural Nets","date":"2016-03-22","arxiv_id":"1607.01354","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-grothendieck-type-inequality-for-local","title":"A Grothendieck-type inequality for local maxima","date":"2016-03-13","arxiv_id":"1603.04064","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-games-with-ambiguous-player-types","title":"Analyzing Games with Ambiguous Player Types using the ${\\rm MINthenMAX}$ Decision Model","date":"2016-03-04","arxiv_id":"1603.01524","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-structured-variational-auto-encoder-for","title":"A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features","date":"2016-02-28","arxiv_id":"1602.08734","repositories_listed":0,"syntology":null},{"url":null,"slug":"chirality-in-a-quaternionic-representation-of","title":"Chirality in a quaternionic representation of the genetic code","date":"2015-12-30","arxiv_id":"1602.05847","repositories_listed":0,"syntology":null},{"url":null,"slug":"siren-cytoscape-plugin-interaction-type","title":"SIREN Cytoscape plugin: Interaction Type Discrimination in Gene Regulatory Networks","date":"2015-12-16","arxiv_id":"1512.05067","repositories_listed":0,"syntology":null},{"url":null,"slug":"gibbs-type-indian-buffet-processes","title":"Gibbs-type Indian buffet processes","date":"2015-12-08","arxiv_id":"1512.02543","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-universal-primal-dual-convex-optimization","title":"A Universal Primal-Dual Convex Optimization Framework","date":"2015-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"highly-scalable-tensor-factorization-for","title":"Highly Scalable Tensor Factorization for Prediction of Drug-Protein Interaction Type","date":"2015-12-01","arxiv_id":"1512.00315","repositories_listed":0,"syntology":null},{"url":null,"slug":"brain-dynamics-through-spectral-structural","title":"Brain dynamics through spectral-structural neuronal networks","date":"2015-11-16","arxiv_id":"1511.05519","repositories_listed":0,"syntology":null},{"url":null,"slug":"hopf-type-neurons-increase-input-sensitivity","title":"Hopf-type neurons increase input-sensitivity by forming forcing-coupled ensembles","date":"2015-10-12","arxiv_id":"1510.03241","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-nonlinear-aggregation-type-classifier","title":"A nonlinear aggregation type classifier","date":"2015-09-04","arxiv_id":"1509.01604","repositories_listed":0,"syntology":null},{"url":null,"slug":"ldtm-a-latent-document-type-model-for","title":"LDTM: A Latent Document Type Model for Cumulative Citation Recommendation","date":"2015-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sensor-type-classification-in-buildings","title":"Sensor-Type Classification in Buildings","date":"2015-09-01","arxiv_id":"1509.00498","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-type-water-meter-character-recognition","title":"Image Type Water Meter Character Recognition Based on Embedded DSP","date":"2015-08-27","arxiv_id":"1508.06725","repositories_listed":0,"syntology":null},{"url":null,"slug":"inferring-passenger-type-from-commuter","title":"Inferring Passenger Type from Commuter Eigentravel Matrices","date":"2015-08-25","arxiv_id":"1509.01199","repositories_listed":0,"syntology":null},{"url":null,"slug":"jarzynski-type-equalities-in-gambling-role-of","title":"Jarzynski-type equalities in gambling: role of information in capital growth","date":"2015-08-18","arxiv_id":"1505.06216","repositories_listed":0,"syntology":null},{"url":null,"slug":"neyman-pearson-classification-under-high","title":"Neyman-Pearson Classification under High-Dimensional Settings","date":"2015-08-13","arxiv_id":"1508.03106","repositories_listed":0,"syntology":null},{"url":null,"slug":"type-constrained-representation-learning-in","title":"Type-Constrained Representation Learning in Knowledge Graphs","date":"2015-08-11","arxiv_id":"1508.02593","repositories_listed":0,"syntology":null},{"url":null,"slug":"type-i-and-type-ii-bayesian-methods-for","title":"Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures","date":"2015-07-17","arxiv_id":"1507.05087","repositories_listed":0,"syntology":null}],"record_sha256":"21335bba38e10bcec0532d14103f646f19e4a0ff1350bd8c861960d056b1d682","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}