{"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/decision-making/papers/119","list_of":"/task/decision-making","task":"Decision Making","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":119,"pages_in_order":124,"rows_per_page":100,"rows":[11801,11900],"of":12311,"counts":{"archive_papers_tagged":12311,"with_a_code_link":2946,"where_syntology_ran_a_sample":678,"not_listed_spam_title":0,"listed":12311,"listed_where_code_ran":678,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":560,"every_run_a_failure_of_syntologys_instrument":118,"listed_with_a_run_with_no_instrument_failure":560,"listed_every_run_a_failure_of_syntologys_instrument":118,"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/decision-making","prev":"/task/decision-making/papers/118","next":"/task/decision-making/papers/120","papers":[{"url":null,"slug":"balancing-suspense-and-surprise-timely","title":"Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition","date":"2016-10-24","arxiv_id":"1610.07505","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-be-fair-and-diverse","title":"How to be Fair and Diverse?","date":"2016-10-23","arxiv_id":"1610.07183","repositories_listed":0,"syntology":null},{"url":null,"slug":"template-matching-advances-and-applications","title":"Template Matching Advances and Applications in Image Analysis","date":"2016-10-23","arxiv_id":"1610.07231","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-and-summarizing-emergent-events-in","title":"Detecting and Summarizing Emergent Events in Microblogs and Social Media Streams by Dynamic Centralities","date":"2016-10-20","arxiv_id":"1610.06431","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-as-a-program-property","title":"Fairness as a Program Property","date":"2016-10-19","arxiv_id":"1610.06067","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-interactive-machine-learning-framework","title":"An Interactive Machine Learning Framework","date":"2016-10-18","arxiv_id":"1610.05463","repositories_listed":0,"syntology":null},{"url":null,"slug":"location-sensitive-deep-convolutional-neural","title":"Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities","date":"2016-10-16","arxiv_id":"1610.04834","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-cbir-in-remote","title":"Content Based Image Retrieval (CBIR) in Remote Clinical Diagnosis and Healthcare","date":"2016-10-10","arxiv_id":"1610.02902","repositories_listed":0,"syntology":null},{"url":null,"slug":"solving-marginal-map-problems-with-np-oracles","title":"Solving Marginal MAP Problems with NP Oracles and Parity Constraints","date":"2016-10-08","arxiv_id":"1610.02591","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-decision-making-under-limited-time","title":"Human Decision-Making under Limited Time","date":"2016-10-06","arxiv_id":"1610.01698","repositories_listed":0,"syntology":null},{"url":null,"slug":"applications-of-online-deep-learning-for","title":"Applications of Online Deep Learning for Crisis Response Using Social Media Information","date":"2016-10-04","arxiv_id":"1610.01030","repositories_listed":0,"syntology":null},{"url":null,"slug":"sentence-clustering-using-pagerank-topic","title":"Sentence Clustering using PageRank Topic Model","date":"2016-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"digitizing-municipal-street-inspections-using","title":"Digitizing Municipal Street Inspections Using Computer Vision","date":"2016-09-30","arxiv_id":"1609.09582","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-making-based-on-cohort-scores-for","title":"Decision Making Based on Cohort Scores for Speaker Verification","date":"2016-09-27","arxiv_id":"1609.08419","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-single-predator-charging-a-herd-of-prey","title":"A single predator charging a herd of prey: effects of self volume and predator-prey decision-making","date":"2016-09-26","arxiv_id":"1609.07855","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-ontology-of-preference-based","title":"An Ontology of Preference-Based Multiobjective Metaheuristics","date":"2016-09-26","arxiv_id":"1609.08082","repositories_listed":0,"syntology":null},{"url":null,"slug":"construction-safety-risk-modeling-and","title":"Construction Safety Risk Modeling and Simulation","date":"2016-09-26","arxiv_id":"1609.07912","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-strategic-games-and-adversarial","title":"Large-Scale Strategic Games and Adversarial Machine Learning","date":"2016-09-21","arxiv_id":"1609.06438","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-stock-market-investors-as","title":"Modelling Stock-market Investors as Reinforcement Learning Agents [Correction]","date":"2016-09-20","arxiv_id":"1609.06086","repositories_listed":0,"syntology":null},{"url":null,"slug":"todim-and-topsis-with-z-numbers","title":"TODIM and TOPSIS with Z-numbers","date":"2016-09-19","arxiv_id":"1609.05705","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-attribute-based-object-recognition","title":"Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers","date":"2016-09-12","arxiv_id":"1609.03619","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-human-consciousness","title":"On Human Consciousness","date":"2016-09-11","arxiv_id":"1609.04033","repositories_listed":0,"syntology":null},{"url":null,"slug":"component-based-distributed-framework-for","title":"Component-Based Distributed Framework for Coherent and Real-Time Video Dehazing","date":"2016-09-07","arxiv_id":"1609.02035","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-information-extraction-approach-to","title":"An Information Extraction Approach to Prescreen Heart Failure Patients for Clinical Trials","date":"2016-09-06","arxiv_id":"1609.01594","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-photon-in-hierarchical-architecture","title":"Single photon in hierarchical architecture for physical reinforcement learning: Photon intelligence","date":"2016-09-01","arxiv_id":"1609.00686","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-cyber-security-experts-decision","title":"Modelling Cyber-Security Experts' Decision Making Processes using Aggregation Operators","date":"2016-08-30","arxiv_id":"1608.08497","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-poisoning-attacks-on-factorization-based","title":"Data Poisoning Attacks on Factorization-Based Collaborative Filtering","date":"2016-08-29","arxiv_id":"1608.08182","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-neuro-fuzzy-model-of-time-varying-decision","title":"A Neuro-Fuzzy Model of Time-Varying Decision Boundaries","date":"2016-08-25","arxiv_id":"1608.07244","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bayesian-nonparametric-approach-for","title":"A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves","date":"2016-08-18","arxiv_id":"1608.05182","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-problem-approximate-planning-of-pomdps","title":"Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies","date":"2016-08-17","arxiv_id":"1608.04996","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-approach-to-dealing-with-missing-values-in","title":"An approach to dealing with missing values in heterogeneous data using k-nearest neighbors","date":"2016-08-13","arxiv_id":"1608.04037","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-collective-intelligence-as-distributed","title":"Human collective intelligence as distributed Bayesian inference","date":"2016-08-05","arxiv_id":"1608.01987","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-web-based-tool-for-identifying-strategic","title":"A Web-based Tool for Identifying Strategic Intervention Points in Complex Systems","date":"2016-08-02","arxiv_id":"1608.00655","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-policy-agendas-lessons-learned","title":"Analysis of Policy Agendas: Lessons Learned from Automatic Topic Classification of Croatian Political Texts","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"character-based-string-kernels-for-bio-entity","title":"Character based String Kernels for Bio-Entity Relation Detection","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"identification-characterization-and-grounding","title":"Identification, characterization, and grounding of gradable terms in clinical text","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-attention-model-for-classification-of","title":"Neural Attention Model for Classification of Sentences that Support Promoting/Suppressing Relationship","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-discovery-and-geospatial","title":"Real-Time Discovery and Geospatial Visualization of Mobility and Industry Events from Large-Scale, Heterogeneous Data Streams","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"thematic-fit-evaluation-an-aspect-of","title":"Thematic fit evaluation: an aspect of selectional preferences","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transductive-adaptation-of-black-box","title":"Transductive Adaptation of Black Box Predictions","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-to-do-with-an-airport-mining-arguments","title":"What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld","date":"2016-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-of-pathways-to-artificial","title":"A Model of Pathways to Artificial Superintelligence Catastrophe for Risk and Decision Analysis","date":"2016-07-25","arxiv_id":"1607.07730","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-dematel-based-completion-method-for","title":"A DEMATEL-Based Completion Method for Incomplete Pairwise Comparison Matrix in AHP","date":"2016-07-23","arxiv_id":"1607.08116","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-personality-aware-recommendation","title":"Towards Personality-Aware Recommendation","date":"2016-07-23","arxiv_id":"1607.05088","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-enemys-actions-improves-commander","title":"Predicting Enemy's Actions Improves Commander Decision-Making","date":"2016-07-22","arxiv_id":"1607.06759","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-identification-and-mitigation-of","title":"On the Identification and Mitigation of Weaknesses in the Knowledge Gradient Policy for Multi-Armed Bandits","date":"2016-07-20","arxiv_id":"1607.05970","repositories_listed":0,"syntology":null},{"url":null,"slug":"safe-policy-improvement-by-minimizing-robust","title":"Safe Policy Improvement by Minimizing Robust Baseline Regret","date":"2016-07-13","arxiv_id":"1607.03842","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-bridge-bidding-using-deep","title":"Automatic Bridge Bidding Using Deep Reinforcement Learning","date":"2016-07-12","arxiv_id":"1607.03290","repositories_listed":0,"syntology":null},{"url":null,"slug":"rolling-horizon-coevolutionary-planning-for","title":"Rolling Horizon Coevolutionary Planning for Two-Player Video Games","date":"2016-07-06","arxiv_id":"1607.01730","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-extended-mabac-for-multi-attribute","title":"An extended MABAC for multi-attribute decision making using trapezoidal interval type-2 fuzzy numbers","date":"2016-07-05","arxiv_id":"1607.01254","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-we-reach-pareto-optimal-outcomes-using","title":"Can we reach Pareto optimal outcomes using bottom-up approaches?","date":"2016-07-03","arxiv_id":"1607.00695","repositories_listed":0,"syntology":null},{"url":null,"slug":"credibilistic-topsis-model-for-evaluation-and","title":"Credibilistic TOPSIS Model for Evaluation and Selection of Municipal Solid Waste Disposal Methods","date":"2016-06-29","arxiv_id":"1606.08965","repositories_listed":0,"syntology":null},{"url":null,"slug":"decision-making-via-semi-supervised-machine","title":"Decision making via semi-supervised machine learning techniques","date":"2016-06-29","arxiv_id":"1606.09022","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluation-and-selection-of-medical-tourism","title":"Evaluation and selection of Medical Tourism sites: A rough AHP based MABAC approach","date":"2016-06-29","arxiv_id":"1606.08962","repositories_listed":0,"syntology":null},{"url":null,"slug":"european-union-regulations-on-algorithmic","title":"European Union regulations on algorithmic decision-making and a \"right to explanation\"","date":"2016-06-28","arxiv_id":"1606.08813","repositories_listed":0,"syntology":null},{"url":null,"slug":"anomaly-detection-in-video-with-bayesian","title":"Anomaly detection in video with Bayesian nonparametrics","date":"2016-06-27","arxiv_id":"1606.08455","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-turing-machine-be-curious-about-its","title":"Can Turing machine be curious about its Turing test results? Three informal lectures on physics of intelligence","date":"2016-06-27","arxiv_id":"1606.08109","repositories_listed":0,"syntology":null},{"url":null,"slug":"ceteris-paribus-logic-in-counterfactual","title":"Ceteris paribus logic in counterfactual reasoning","date":"2016-06-24","arxiv_id":"1606.07522","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-agent-decision-making-combining-theory","title":"Human-Agent Decision-making: Combining Theory and Practice","date":"2016-06-24","arxiv_id":"1606.07514","repositories_listed":0,"syntology":null},{"url":null,"slug":"preference-at-first-sight","title":"Preference at First Sight","date":"2016-06-24","arxiv_id":"1606.07524","repositories_listed":0,"syntology":null},{"url":null,"slug":"proactive-decision-support-using-automated","title":"Proactive Decision Support using Automated Planning","date":"2016-06-24","arxiv_id":"1606.07841","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-optimality-of-coarse-categories-in","title":"The optimality of coarse categories in decision-making and information storage","date":"2016-06-24","arxiv_id":"1606.07529","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-topic-modeling-approaches-to","title":"Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings","date":"2016-06-24","arxiv_id":"1606.07829","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-in-the-value-function-of-two-player","title":"Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information","date":"2016-06-22","arxiv_id":"1606.06888","repositories_listed":0,"syntology":null},{"url":null,"slug":"balancing-new-against-old-information-the","title":"Balancing New Against Old Information: The Role of Surprise in Learning","date":"2016-06-17","arxiv_id":"1606.05642","repositories_listed":0,"syntology":null},{"url":null,"slug":"collective-decision-dynamics-in-group","title":"Collective Decision Dynamics in Group Evacuation: Behavioral Experiment and Machine Learning Models","date":"2016-06-17","arxiv_id":"1606.05647","repositories_listed":0,"syntology":null},{"url":null,"slug":"experimental-and-causal-view-on-information","title":"Experimental and causal view on information integration in autonomous agents","date":"2016-06-14","arxiv_id":"1606.04250","repositories_listed":0,"syntology":null},{"url":null,"slug":"spreadsheet-probabilistic-programming","title":"Spreadsheet Probabilistic Programming","date":"2016-06-14","arxiv_id":"1606.04216","repositories_listed":0,"syntology":null},{"url":null,"slug":"idnet-smartphone-based-gait-recognition-with","title":"IDNet: Smartphone-based Gait Recognition with Convolutional Neural Networks","date":"2016-06-10","arxiv_id":"1606.03238","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-generation-enhances-human","title":"Natural Language Generation enhances human decision-making with uncertain information","date":"2016-06-10","arxiv_id":"1606.03254","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-cooperative-decision-making-in","title":"Distributed Cooperative Decision-Making in Multiarmed Bandits: Frequentist and Bayesian Algorithms","date":"2016-06-02","arxiv_id":"1606.00911","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-mining-of-argumentative-text","title":"Cross-Domain Mining of Argumentative Text through Distant Supervision","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-balanced-gaussian-plsa-for-automated","title":"Entity-balanced Gaussian pLSA for Automated Comparison","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"is-sentiment-in-movies-the-same-as-sentiment","title":"Is Sentiment in Movies the Same as Sentiment in Psychotherapy? Comparisons Using a New Psychotherapy Sentiment Database","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semeval-2016-task-5-aspect-based-sentiment","title":"SemEval-2016 Task 5: Aspect Based Sentiment Analysis","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-solution-path-algorithm-for-identity","title":"The Solution Path Algorithm for Identity-Aware Multi-Object Tracking","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-early-dementia-detection-fusing","title":"Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"utahbmi-at-semeval-2016-task-12-extracting","title":"UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text","date":"2016-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"the-bayesian-linear-information-filtering","title":"The Bayesian Linear Information Filtering Problem","date":"2016-05-30","arxiv_id":"1605.09088","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-symbolic-interior-point-method","title":"The Symbolic Interior Point Method","date":"2016-05-26","arxiv_id":"1605.08187","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-action-sequence-learning-for-causal","title":"Deep Action Sequence Learning for Causal Shape Transformation","date":"2016-05-17","arxiv_id":"1605.05368","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-performance-computing-for-scheduling","title":"High-Performance Computing for Scheduling Decision Support: A Parallel Depth-First Search Heuristic","date":"2016-05-16","arxiv_id":"1605.04682","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-reflective-risk-aware-artificial","title":"Self-Reflective Risk-Aware Artificial Cognitive Modeling for Robot Response to Human Behaviors","date":"2016-05-16","arxiv_id":"1605.04934","repositories_listed":0,"syntology":null},{"url":null,"slug":"anchoring-and-agreement-in-syntactic","title":"Anchoring and Agreement in Syntactic Annotations","date":"2016-05-15","arxiv_id":"1605.04481","repositories_listed":0,"syntology":null},{"url":null,"slug":"wisdom-of-crowds-cluster-ensemble","title":"Wisdom of Crowds cluster ensemble","date":"2016-05-13","arxiv_id":"1605.04074","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-web-scale-event-summarization-using","title":"Real-Time Web Scale Event Summarization Using Sequential Decision Making","date":"2016-05-12","arxiv_id":"1605.03664","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-solution-to-time-varying-markov-decision","title":"A Solution to Time-Varying Markov Decision Processes","date":"2016-05-03","arxiv_id":"1605.01018","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-bayesian-noise-inference-for","title":"Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification","date":"2016-05-03","arxiv_id":"1605.01042","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-modeling-of-multidimensional-1","title":"Hierarchical Modeling of Multidimensional Data in Regularly Decomposed Spaces: Main Principles","date":"2016-05-03","arxiv_id":"1605.00961","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-taxonomy-of-spanish-nouns-a-statistical","title":"A Taxonomy of Spanish Nouns, a Statistical Algorithm to Generate it and its Implementation in Open Source Code","date":"2016-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-implicit-expressions-of-affect-from","title":"Detecting Implicit Expressions of Affect from Text using Semantic Knowledge on Common Concept Properties","date":"2016-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-classification-of-grants-using-lda","title":"Ensemble Classification of Grants using LDA-based Features","date":"2016-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-contextual-bandits-with-known","title":"Stochastic Contextual Bandits with Known Reward Functions","date":"2016-04-30","arxiv_id":"1605.00176","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-analysis-of-chess-games-with","title":"Large-scale Analysis of Chess Games with Chess Engines: A Preliminary Report","date":"2016-04-28","arxiv_id":"1607.04186","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-reward-design-to-improve","title":"Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games","date":"2016-04-24","arxiv_id":"1604.07095","repositories_listed":0,"syntology":null},{"url":null,"slug":"iterative-judgment-aggregation","title":"Iterative Judgment Aggregation","date":"2016-04-21","arxiv_id":"1604.06356","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiplayer-games-for-learning-multirobot","title":"Multiplayer Games for Learning Multirobot Coordination Algorithms","date":"2016-04-20","arxiv_id":"1604.05942","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-shapes-time-perception-and","title":"Memory shapes time perception and intertemporal choices","date":"2016-04-18","arxiv_id":"1604.05129","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-hierarchical-genetic-optimization-of-a","title":"A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids","date":"2016-04-16","arxiv_id":"1604.04789","repositories_listed":0,"syntology":null},{"url":null,"slug":"unanimously-acceptable-agreements-for","title":"Unanimously acceptable agreements for negotiation teams in unpredictable domains","date":"2016-04-16","arxiv_id":"1604.04725","repositories_listed":0,"syntology":null}],"record_sha256":"d77229daee699ef153d10c9c7c8b7034bac9ec68489bb961cd95575d90f1de2a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}