{"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/model/papers/53","list_of":"/task/model","task":"model","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":53,"pages_in_order":55,"rows_per_page":100,"rows":[5201,5300],"of":5434,"counts":{"archive_papers_tagged":5434,"with_a_code_link":1733,"where_syntology_ran_a_sample":517,"not_listed_spam_title":0,"listed":5434,"listed_where_code_ran":517,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":424,"every_run_a_failure_of_syntologys_instrument":93,"listed_with_a_run_with_no_instrument_failure":424,"listed_every_run_a_failure_of_syntologys_instrument":93,"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/model","prev":"/task/model/papers/52","next":"/task/model/papers/54","papers":[{"url":null,"slug":"forest-fire-model-as-a-supercritical-dynamic","title":"Forest Fire Model as a Supercritical Dynamic Model in Financial Systems","date":"2015-02-24","arxiv_id":"1503.04841","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatial-stimuli-gradient-sketch-model","title":"Spatial Stimuli Gradient Sketch Model","date":"2015-02-15","arxiv_id":"1502.04272","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-distributional-representation-model-for","title":"A Distributional Representation Model For Collaborative Filtering","date":"2015-02-14","arxiv_id":"1502.04163","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-linear-dynamical-system-model-for-text","title":"A Linear Dynamical System Model for Text","date":"2015-02-13","arxiv_id":"1502.04081","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-show-a-probabilistic-model-is-better","title":"How to show a probabilistic model is better","date":"2015-02-11","arxiv_id":"1502.03491","repositories_listed":0,"syntology":null},{"url":null,"slug":"reconstruction-in-the-labeled-stochastic","title":"Reconstruction in the Labeled Stochastic Block Model","date":"2015-02-11","arxiv_id":"1502.03365","repositories_listed":0,"syntology":null},{"url":null,"slug":"functional-gaussian-process-model-for","title":"Functional Gaussian Process Model for Bayesian Nonparametric Analysis","date":"2015-02-10","arxiv_id":"1502.03042","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-first-order-model-based-reasoning","title":"On First-Order Model-Based Reasoning","date":"2015-02-09","arxiv_id":"1502.02535","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quantum-production-model","title":"A Quantum Production Model","date":"2015-02-06","arxiv_id":"1502.02029","repositories_listed":0,"syntology":null},{"url":null,"slug":"estimating-optimal-active-learning-via-model","title":"Estimating Optimal Active Learning via Model Retraining Improvement","date":"2015-02-05","arxiv_id":"1502.01664","repositories_listed":0,"syntology":null},{"url":null,"slug":"spectral-detection-in-the-censored-block","title":"Spectral Detection in the Censored Block Model","date":"2015-01-31","arxiv_id":"1502.00163","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-sensing-with-model-mismatch","title":"Sequential Sensing with Model Mismatch","date":"2015-01-26","arxiv_id":"1501.06241","repositories_listed":0,"syntology":null},{"url":null,"slug":"belief-hidden-markov-model-for-speech","title":"Belief Hidden Markov Model for speech recognition","date":"2015-01-22","arxiv_id":"1501.05530","repositories_listed":0,"syntology":null},{"url":null,"slug":"phrase-based-language-model-for-statistical-1","title":"Phrase Based Language Model For Statistical Machine Translation","date":"2015-01-18","arxiv_id":"1501.04324","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-approach-to-model-free-option-pricing","title":"A New Approach to Model Free Option Pricing","date":"2015-01-15","arxiv_id":"1501.03701","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-simple-data-adaptive-probabilistic-variant","title":"A Simple Data-Adaptive Probabilistic Variant Calling Model","date":"2015-01-13","arxiv_id":"1405.5251","repositories_listed":0,"syntology":null},{"url":null,"slug":"sprite-a-response-model-for-multiple-choice","title":"SPRITE: A Response Model For Multiple Choice Testing","date":"2015-01-12","arxiv_id":"1501.02844","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigation-of-a-chaotic-spiking-neuron","title":"Investigation of a chaotic spiking neuron model","date":"2015-01-09","arxiv_id":"1501.02192","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-generalized-rectangular-fuzzy-model-for","title":"On Generalized Rectangular Fuzzy Model for Assessment","date":"2015-01-05","arxiv_id":"1501.05917","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-model-of-grounded-color-semantics","title":"A Bayesian Model of Grounded Color Semantics","date":"2015-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-convolutional-click-prediction-model","title":"A Convolutional Click Prediction Model","date":"2015-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-probabilistic-model-of-ancient-egyptian","title":"A Probabilistic Model of Ancient Egyptian Writing","date":"2015-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-model-interpolation-for-domain","title":"Translation Model Interpolation for Domain Adaptation in TectoMT","date":"2015-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-selection-in-high-dimensional","title":"Model Selection in High-Dimensional Misspecified Models","date":"2014-12-23","arxiv_id":"1412.7468","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-mathematical-model-for-logarithmic-image","title":"A Mathematical Model for Logarithmic Image Processing","date":"2014-12-17","arxiv_id":"1412.5328","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-algebraical-model-for-gray-level-images","title":"An Algebraical Model for Gray Level Images","date":"2014-12-17","arxiv_id":"1412.5322","repositories_listed":0,"syntology":null},{"url":null,"slug":"symmetric-weighted-first-order-model-counting","title":"Symmetric Weighted First-Order Model Counting","date":"2014-12-03","arxiv_id":"1412.1505","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-word-sequence-language-model","title":"A Hierarchical Word Sequence Language Model","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constrained-convex-minimization-via-model","title":"Constrained convex minimization via model-based excessive gap","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-rank-factor-model-for-text-streams","title":"Dynamic Rank Factor Model for Text Streams","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"general-table-completion-using-a-bayesian","title":"General Table Completion using a Bayesian Nonparametric Model","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"incrementally-updating-the-smt-reordering","title":"Incrementally Updating the SMT Reordering Model","date":"2014-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"convex-techniques-for-model-selection","title":"Convex Techniques for Model Selection","date":"2014-11-27","arxiv_id":"1411.7596","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-of-interaction-between-learning-and","title":"Model of Interaction between Learning and Evolution","date":"2014-11-18","arxiv_id":"1411.5053","repositories_listed":0,"syntology":null},{"url":null,"slug":"relations-world-a-possibilistic-graphical","title":"Relations World: A Possibilistic Graphical Model","date":"2014-11-17","arxiv_id":"1411.4618","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-evidence-and-model-selection","title":"Bayesian Evidence and Model Selection","date":"2014-11-11","arxiv_id":"1411.3013","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-parallel-inference-for-big-topic-models","title":"Model-Parallel Inference for Big Topic Models","date":"2014-11-10","arxiv_id":"1411.2305","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-statistical-model-for-tensor-pca","title":"A statistical model for tensor PCA","date":"2014-11-04","arxiv_id":"1411.1076","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-mixed-multinomial-logit-model-from","title":"Learning Mixed Multinomial Logit Model from Ordinal Data","date":"2014-11-01","arxiv_id":"1411.0073","repositories_listed":0,"syntology":null},{"url":null,"slug":"supervised-learning-model-for-parsing-arabic","title":"Supervised learning model for parsing Arabic language","date":"2014-10-31","arxiv_id":"1410.8783","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-feature-based-fm-model-for-rating","title":"Latent Feature Based FM Model For Rating Prediction","date":"2014-10-29","arxiv_id":"1410.8034","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-selection-for-topic-models-via-spectral","title":"Model Selection for Topic Models via Spectral Decomposition","date":"2014-10-23","arxiv_id":"1410.6466","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-model-theory-for-distributed","title":"Towards a Model Theory for Distributed Representations","date":"2014-10-21","arxiv_id":"1410.5859","repositories_listed":0,"syntology":null},{"url":null,"slug":"linear-state-space-model-with-time-varying","title":"Linear State-Space Model with Time-Varying Dynamics","date":"2014-10-02","arxiv_id":"1410.0555","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cognitive-model-of-semantic-network","title":"A Cognitive Model of Semantic Network Learning","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-joint-model-for-unsupervised-chinese-word","title":"A Joint Model for Unsupervised Chinese Word Segmentation","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-improved-graph-model-for-chinese-spell","title":"An Improved Graph Model for Chinese Spell Checking","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-unsupervised-model-for-instance-level","title":"An Unsupervised Model for Instance Level Subcategorization Acquisition","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"chinese-spell-checking-based-on-noisy-channel","title":"Chinese Spell Checking Based on Noisy Channel Model","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-information-networks-using-one","title":"Constructing Information Networks Using One Single Model","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-attrition-along-the-way-the-uiuc","title":"Predicting Attrition Along the Way: The UIUC Model","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reordering-model-for-forest-to-string-machine","title":"Reordering Model for Forest-to-String Machine Translation","date":"2014-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-information-theoretically-efficient-model","title":"The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets","date":"2014-09-22","arxiv_id":"1409.6075","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-model-for-recognizing-handwritten","title":"A Bayesian model for recognizing handwritten mathematical expressions","date":"2014-09-18","arxiv_id":"1409.5317","repositories_listed":0,"syntology":null},{"url":null,"slug":"fused-lasso-additive-model","title":"Fused Lasso Additive Model","date":"2014-09-18","arxiv_id":"1409.5391","repositories_listed":0,"syntology":null},{"url":null,"slug":"collapsed-variational-bayes-inference-of","title":"Collapsed Variational Bayes Inference of Infinite Relational Model","date":"2014-09-16","arxiv_id":"1409.4757","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-additive-model-using-symmetric","title":"Sparse Additive Model using Symmetric Nonnegative Definite Smoothers","date":"2014-09-08","arxiv_id":"1409.2552","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-model-driven-architectures-for-human","title":"Towards Model Driven Architectures for Human Language Technologies","date":"2014-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fame-face-association-through-model-evolution","title":"FAME: Face Association through Model Evolution","date":"2014-07-10","arxiv_id":"1407.2987","repositories_listed":0,"syntology":null},{"url":null,"slug":"fuzzy-model-on-human-emotions-recognition","title":"Fuzzy Model on Human Emotions Recognition","date":"2014-07-06","arxiv_id":"1407.1474","repositories_listed":0,"syntology":null},{"url":null,"slug":"projecting-ising-model-parameters-for-fast","title":"Projecting Ising Model Parameters for Fast Mixing","date":"2014-07-03","arxiv_id":"1407.0749","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-path-to-construct-parametric","title":"A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model","date":"2014-07-01","arxiv_id":"1407.0342","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-quantitative-neural-coding-model-of-sensory","title":"A Quantitative Neural Coding Model of Sensory Memory","date":"2014-06-25","arxiv_id":"1406.6453","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-abc-model-choice-via-random-forests","title":"Reliable ABC model choice via random forests","date":"2014-06-24","arxiv_id":"1406.6288","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-quantitative-model-of-vision-and","title":"A Unified Quantitative Model of Vision and Audition","date":"2014-06-23","arxiv_id":"1406.5807","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-logic-programs-linear-model","title":"Random Logic Programs: Linear Model","date":"2014-06-23","arxiv_id":"1406.6102","repositories_listed":0,"syntology":null},{"url":null,"slug":"primitives-for-dynamic-big-model-parallelism","title":"Primitives for Dynamic Big Model Parallelism","date":"2014-06-18","arxiv_id":"1406.4580","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-reinforcement-learning-and-the","title":"Model-based Reinforcement Learning and the Eluder Dimension","date":"2014-06-07","arxiv_id":"1406.1853","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-topic-style-model-for-online","title":"A Unified Topic-Style Model for Online Discussions","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-usage-based-model-of-early-grammatical","title":"A Usage-Based Model of Early Grammatical Development","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-with-constrained-topic-model","title":"Active Learning with Constrained Topic Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-reordering-model-with-feature","title":"Bayesian Reordering Model with Feature Selection","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"biases-in-predicting-the-human-language-model","title":"Biases in Predicting the Human Language Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-model-transfer-using-feature","title":"Cross-lingual Model Transfer Using Feature Representation Projection","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-selection-of-translation-model","title":"Effective Selection of Translation Model Training Data","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-verb-classes-in-an-incremental-model","title":"Learning Verb Classes in an Incremental Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-transport-towards-scalable-transfer","title":"Model Transport: Towards Scalable Transfer Learning on Manifolds","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-networks-for-word-alignment","title":"Recurrent Neural Networks for Word Alignment Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"scams-simultaneous-clustering-and-model","title":"SCAMS: Simultaneous Clustering and Model Selection","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"self-disclosure-topic-model-for-twitter","title":"Self-disclosure topic model for Twitter conversations","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"shift-reduce-ccg-parsing-with-a-dependency","title":"Shift-Reduce CCG Parsing with a Dependency Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-tracking-via-probability-continuous","title":"Visual Tracking via Probability Continuous Outlier Model","date":"2014-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-topic-model-approach-to-multi-modal","title":"A Topic Model Approach to Multi-Modal Similarity","date":"2014-05-27","arxiv_id":"1405.6886","repositories_listed":0,"syntology":null},{"url":null,"slug":"lass-a-simple-assignment-model-with-laplacian","title":"LASS: a simple assignment model with Laplacian smoothing","date":"2014-05-23","arxiv_id":"1405.5960","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-model-counting-for-acyclic-cnf","title":"Understanding model counting for $β$-acyclic CNF-formulas","date":"2014-05-23","arxiv_id":"1405.6043","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-layered-graph-based-multi-document","title":"Multi-layered graph-based multi-document summarization model","date":"2014-05-17","arxiv_id":"1405.7975","repositories_listed":0,"syntology":null},{"url":null,"slug":"properties-of-stable-model-semantics","title":"Properties of Stable Model Semantics Extensions","date":"2014-05-15","arxiv_id":"1405.3896","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-words-analysis-based-on-lda-model","title":"Topic words analysis based on LDA model","date":"2014-05-15","arxiv_id":"1405.3726","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-many-experts-model-selection","title":"Learning with many experts: model selection and sparsity","date":"2014-05-13","arxiv_id":"1405.3292","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-vague-association-mining-with","title":"Integrating Vague Association Mining with Markov Model","date":"2014-05-08","arxiv_id":"1405.7869","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-consistency-of-partly-smooth","title":"Model Consistency of Partly Smooth Regularizers","date":"2014-05-05","arxiv_id":"1405.1004","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-context-grammatical-model-for","title":"A Deep Context Grammatical Model For Authorship Attribution","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-detection-with-a-3d-model","title":"Face Detection with a 3D Model","date":"2014-04-14","arxiv_id":"1404.3596","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-learning-for-undirected-graphical","title":"Active Learning for Undirected Graphical Model Selection","date":"2014-04-13","arxiv_id":"1404.3418","repositories_listed":0,"syntology":null},{"url":null,"slug":"some-experiments-with-a-convex-ibm-model-2","title":"Some Experiments with a Convex IBM Model 2","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-driven-applications-of-fractional","title":"Model-Driven Applications of Fractional Derivatives and Integrals","date":"2014-03-21","arxiv_id":"1405.1999","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-machine-learning-model-for-stock-market","title":"A Machine Learning Model for Stock Market Prediction","date":"2014-02-28","arxiv_id":"1402.7351","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-spline-model-a-shape-based-model","title":"Active spline model: A shape based model-interactive segmentation","date":"2014-02-26","arxiv_id":"1402.6387","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-model-of-node-interaction-in","title":"A Bayesian Model of node interaction in networks","date":"2014-02-18","arxiv_id":"1402.4279","repositories_listed":0,"syntology":null},{"url":null,"slug":"gaussian-process-volatility-model","title":"Gaussian Process Volatility Model","date":"2014-02-13","arxiv_id":"1402.3085","repositories_listed":0,"syntology":null}],"record_sha256":"eb13bfca58e43150a612f9bb1eb7a9d874450ee0255d3ff1cd705c679b2cabba","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}