{"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/high/papers/26","list_of":"/task/high","task":"Vocal Bursts Intensity 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":26,"pages_in_order":27,"rows_per_page":100,"rows":[2501,2600],"of":2614,"counts":{"archive_papers_tagged":2614,"with_a_code_link":775,"where_syntology_ran_a_sample":147,"not_listed_spam_title":0,"listed":2614,"listed_where_code_ran":147,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":124,"every_run_a_failure_of_syntologys_instrument":23,"listed_with_a_run_with_no_instrument_failure":124,"listed_every_run_a_failure_of_syntologys_instrument":23,"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/high","prev":"/task/high/papers/25","next":"/task/high/papers/27","papers":[{"url":null,"slug":"creative-language-explorations-through-a-high","title":"Creative language explorations through a high-expressivity N-grams query language","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"derivbasehr-a-high-coverage-derivational","title":"DerivBase.hr: A High-Coverage Derivational Morphology Resource for Croatian","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-quality-word-lists-as-a-resource-for","title":"High Quality Word Lists as a Resource for Multiple Purposes","date":"2014-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-inference-for-general-high","title":"Geometric Inference for General High-Dimensional Linear Inverse Problems","date":"2014-04-17","arxiv_id":"1404.4408","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-clustering-of-high-dimensional","title":"Model Based Clustering of High-Dimensional Binary Data","date":"2014-04-11","arxiv_id":"1404.3174","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-tool-for-a-high-carat-gold-standard-word","title":"A Tool for a High-Carat Gold-Standard Word Alignment","date":"2014-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"selective-factor-extraction-in-high","title":"Selective Factor Extraction in High Dimensions","date":"2014-03-25","arxiv_id":"1403.6212","repositories_listed":0,"syntology":null},{"url":null,"slug":"path-thresholding-asymptotically-tuning-free","title":"Path Thresholding: Asymptotically Tuning-Free High-Dimensional Sparse Regression","date":"2014-02-23","arxiv_id":"1402.5584","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-semiparametric-scale","title":"High Dimensional Semiparametric Scale-Invariant Principal Component Analysis","date":"2014-02-18","arxiv_id":"1402.4507","repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-spell-suggestion-for-high-quality-speech","title":"Auto Spell Suggestion for High Quality Speech Synthesis in Hindi","date":"2014-02-15","arxiv_id":"1402.3648","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-query-practical-private-query-release","title":"Dual Query: Practical Private Query Release for High Dimensional Data","date":"2014-02-06","arxiv_id":"1402.1526","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-high-reproducibility-and-high-accuracy","title":"A high-reproducibility and high-accuracy method for automated topic classification","date":"2014-02-03","arxiv_id":"1402.0422","repositories_listed":0,"syntology":null},{"url":null,"slug":"hallucinating-optimal-high-dimensional","title":"Hallucinating optimal high-dimensional subspaces","date":"2014-01-31","arxiv_id":"1401.8053","repositories_listed":0,"syntology":null},{"url":null,"slug":"inference-in-high-dimensions-with-the","title":"Inference in High Dimensions with the Penalized Score Test","date":"2014-01-12","arxiv_id":"1401.2678","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-selection-using-classifier-in-high","title":"Feature Selection Using Classifier in High Dimensional Data","date":"2014-01-05","arxiv_id":"1401.0898","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-augmentation-via-nonparametrics-and","title":"Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification","date":"2013-12-31","arxiv_id":"1401.0211","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-human-ventricular","title":"Classification of Human Ventricular Arrhythmia in High Dimensional Representation Spaces","date":"2013-12-18","arxiv_id":"1312.5354","repositories_listed":0,"syntology":null},{"url":null,"slug":"clustering-for-high-dimension-low-sample-size","title":"Clustering for high-dimension, low-sample size data using distance vectors","date":"2013-12-12","arxiv_id":"1312.3386","repositories_listed":0,"syntology":null},{"url":null,"slug":"swapping-variables-for-high-dimensional","title":"Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements","date":"2013-12-05","arxiv_id":"1312.1706","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-intervals-and-hypothesis-testing-1","title":"Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-gaussian-process-bandits","title":"High-Dimensional Gaussian Process Bandits","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-neural-population-codes-for-high","title":"Optimal Neural Population Codes for High-dimensional Stimulus Variables","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"q-ocsvm-a-q-quantile-estimator-for-high","title":"q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-sparse-principal-component-regression","title":"Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sensor-selection-in-high-dimensional-gaussian","title":"Sensor Selection in High-Dimensional Gaussian Trees with Nuisances","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-ratio-matching-of-rbms-for-sparse","title":"Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"when-in-doubt-swap-high-dimensional-sparse","title":"When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements","date":"2013-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-high-resolution-fusion-of-depth","title":"Real-time High Resolution Fusion of Depth Maps on GPU","date":"2013-11-28","arxiv_id":"1311.7194","repositories_listed":0,"syntology":null},{"url":null,"slug":"do-high-frequency-data-improve-high","title":"DO HIGH-FREQUENCY DATA IMPROVE HIGH-DIMENSIONALPORTFOLIO ALLOCATIONS","date":"2013-11-27","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"auto-adaptative-laplacian-pyramids-for-high","title":"Auto-adaptative Laplacian Pyramids for High-dimensional Data Analysis","date":"2013-11-26","arxiv_id":"1311.6594","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-learning-of-linear-causal","title":"High-dimensional learning of linear causal networks via inverse covariance estimation","date":"2013-11-14","arxiv_id":"1311.3492","repositories_listed":0,"syntology":null},{"url":null,"slug":"program-evaluation-and-causal-inference-with","title":"Program Evaluation and Causal Inference with High-Dimensional Data","date":"2013-11-11","arxiv_id":"1311.2645","repositories_listed":0,"syntology":null},{"url":null,"slug":"oracle-inequalities-for-high-dimensional","title":"Oracle Inequalities for High Dimensional Vector Autoregressions","date":"2013-11-04","arxiv_id":"1311.0811","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-estimation-of-multiple-graphical-models","title":"Joint Estimation of Multiple Graphical Models from High Dimensional Time Series","date":"2013-11-01","arxiv_id":"1311.0219","repositories_listed":0,"syntology":null},{"url":null,"slug":"nearly-optimal-sample-size-in-hypothesis","title":"Nearly Optimal Sample Size in Hypothesis Testing for High-Dimensional Regression","date":"2013-11-01","arxiv_id":"1311.0274","repositories_listed":0,"syntology":null},{"url":null,"slug":"eca-high-dimensional-elliptical-component","title":"ECA: High Dimensional Elliptical Component Analysis in non-Gaussian Distributions","date":"2013-10-14","arxiv_id":"1310.3561","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":"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":"cam-causal-additive-models-high-dimensional","title":"CAM: Causal additive models, high-dimensional order search and penalized regression","date":"2013-10-06","arxiv_id":"1310.1533","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-quality-dependency-selection-from","title":"High Quality Dependency Selection from Automatic Parses","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-high-reliability-speech-translation","title":"Towards High-Reliability Speech Translation in the Medical Domain","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-joint-sparsity-random","title":"High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning","date":"2013-09-26","arxiv_id":"1309.6814","repositories_listed":0,"syntology":null},{"url":null,"slug":"tighter-linear-program-relaxations-for-high","title":"Tighter Linear Program Relaxations for High Order Graphical Models","date":"2013-09-26","arxiv_id":"1309.6848","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-rules-and-stochastic-models-for-high","title":"Bayesian rules and stochastic models for high accuracy prediction of solar radiation","date":"2013-09-18","arxiv_id":"1309.4999","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-accuracy-phrase-translation-acquisition","title":"High-Accuracy Phrase Translation Acquisition Through Battle-Royale Selection","date":"2013-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-accuracy-total-variation-for-compressed","title":"High-Accuracy Total Variation for Compressed Video Sensing","date":"2013-09-01","arxiv_id":"1309.0270","repositories_listed":0,"syntology":null},{"url":null,"slug":"support-recovery-for-the-drift-coefficient-of","title":"Support Recovery for the Drift Coefficient of High-Dimensional Diffusions","date":"2013-08-19","arxiv_id":"1308.4077","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-sparse-gaussian-graphical","title":"High dimensional Sparse Gaussian Graphical Mixture Model","date":"2013-08-15","arxiv_id":"1308.3381","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-regression-with-gaussian","title":"High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables","date":"2013-08-10","arxiv_id":"1308.2302","repositories_listed":0,"syntology":null},{"url":null,"slug":"monostream-a-minimal-hardware-high-accuracy","title":"MonoStream: A Minimal-Hardware High Accuracy Device-free WLAN Localization System","date":"2013-08-04","arxiv_id":"1308.0768","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-lightweight-and-high-performance","title":"A Lightweight and High Performance Monolingual Word Aligner","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"correspondence-seminar-bringing-linguistics","title":"Correspondence Seminar: Bringing Linguistics to High Schools","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"finding-more-bilingual-webpages-with-high","title":"Finding More Bilingual Webpages with High Credibility via Link Analysis","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-dbn-for-predicting-high-quality","title":"Multimodal DBN for Predicting High-Quality Answers in cQA portals","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"minimum-distance-estimation-for-robust-high","title":"Minimum Distance Estimation for Robust High-Dimensional Regression","date":"2013-07-11","arxiv_id":"1307.3227","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-direct-estimation-of-high-dimensional","title":"A Direct Estimation of High Dimensional Stationary Vector Autoregressions","date":"2013-07-01","arxiv_id":"1307.0293","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-principal-component-analysis-for-high","title":"Sparse Principal Component Analysis for High Dimensional Vector Autoregressive Models","date":"2013-06-30","arxiv_id":"1307.0164","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-feature-selection-in-high-dimensional","title":"Optimal Feature Selection in High-Dimensional Discriminant Analysis","date":"2013-06-27","arxiv_id":"1306.6557","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-intervals-and-hypothesis-testing","title":"Confidence Intervals and Hypothesis Testing for High-Dimensional Regression","date":"2013-06-13","arxiv_id":"1306.3171","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimax-theory-for-high-dimensional-gaussian","title":"Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation","date":"2013-06-09","arxiv_id":"1306.2035","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-compositional-high-order-pattern","title":"Exploring Compositional High Order Pattern Potentials for Structured Output Learning","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-binary-codes-for-high-dimensional","title":"Learning Binary Codes for High-Dimensional Data Using Bilinear Projections","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"megastereo-constructing-high-resolution","title":"Megastereo: Constructing High-Resolution Stereo Panoramas","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"relational-words-have-high-metaphoric","title":"Relational words have high metaphoric potential","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"tensor-based-high-order-semantic-relation","title":"Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-image-retargeting-for-high-dynamic","title":"Efficient Image Retargeting for High Dynamic Range Scenes","date":"2013-05-20","arxiv_id":"1305.4544","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-level-pattern-classification-via-tourist","title":"High Level Pattern Classification via Tourist Walks in Networks","date":"2013-05-07","arxiv_id":"1305.1679","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-selection-for-high-dimensional","title":"Model Selection for High-Dimensional Regression under the Generalized Irrepresentability Condition","date":"2013-05-02","arxiv_id":"1305.0355","repositories_listed":0,"syntology":null},{"url":null,"slug":"bayesian-crack-detection-in-ultra-high","title":"Bayesian crack detection in ultra high resolution multimodal images of paintings","date":"2013-04-22","arxiv_id":"1304.5894","repositories_listed":0,"syntology":null},{"url":null,"slug":"continuum-armed-bandit-problem-of-few","title":"Continuum armed bandit problem of few variables in high dimensions","date":"2013-04-21","arxiv_id":"1304.5793","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-elimination-in-kernel-machines-in","title":"Feature Elimination in Kernel Machines in moderately high dimensions","date":"2013-04-18","arxiv_id":"1304.5245","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-mixed-graphical-models","title":"High-dimensional Mixed Graphical Models","date":"2013-04-09","arxiv_id":"1304.2810","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-reinforcement-learning-for-high","title":"Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems","date":"2013-03-24","arxiv_id":"1303.5984","repositories_listed":0,"syntology":null},{"url":null,"slug":"covariance-estimation-in-high-dimensions-via","title":"Covariance Estimation in High Dimensions via Kronecker Product Expansions","date":"2013-02-12","arxiv_id":"1302.2686","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-impossibility-result-for-high-dimensional","title":"An Impossibility Result for High Dimensional Supervised Learning","date":"2013-01-29","arxiv_id":"1301.6915","repositories_listed":0,"syntology":null},{"url":null,"slug":"compressive-neural-representation-of-sparse","title":"Compressive neural representation of sparse, high-dimensional probabilities","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-high-dimensional-maximum-entropy","title":"Efficient high dimensional maximum entropy modeling via symmetric partition functions","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-high-density-regions-for-a","title":"Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"minimizing-sparse-high-order-energies-by","title":"Minimizing Sparse High-Order Energies by Submodular Vertex-Cover","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-optimization-and-sparse","title":"Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-covariance-decomposition","title":"High-Dimensional Covariance Decomposition into Sparse Markov and Independence Models","date":"2012-11-05","arxiv_id":"1211.0919","repositories_listed":0,"syntology":null},{"url":null,"slug":"minimax-sparse-principal-subspace-estimation","title":"Minimax sparse principal subspace estimation in high dimensions","date":"2012-11-02","arxiv_id":"1211.0373","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixture-model-for-designs-in-high-dimensional","title":"Mixture model for designs in high dimensional regression and the LASSO","date":"2012-10-17","arxiv_id":"1210.4762","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-screening-using-multiple","title":"High-Dimensional Screening Using Multiple Grouping of Variables","date":"2012-08-09","arxiv_id":"1208.2043","repositories_listed":0,"syntology":null},{"url":null,"slug":"exact-sampling-and-decoding-in-high-order","title":"Exact Sampling and Decoding in High-Order Hidden Markov Models","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-high-level-planning-from-text","title":"Learning High-Level Planning from Text","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-frequency-market-making-with-inventory","title":"High-frequency market-making with inventory constraints and directional bets","date":"2012-06-21","arxiv_id":"1206.4810","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-high-level-organizational","title":"Identifying High-Level Organizational Elements in Argumentative Discourse","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-high-quality-web-corpus-of-czech","title":"A High-Quality Web Corpus of Czech","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"diversifiable-bootstrapping-for-acquiring","title":"Diversifiable Bootstrapping for Acquiring High-Coverage Paraphrase Resource","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"versatile-speech-databases-for-high-quality","title":"Versatile Speech Databases for High Quality Synthesis for Basque","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"optimality-of-graphlet-screening-in-high","title":"Optimality of Graphlet Screening in High Dimensional Variable Selection","date":"2012-04-29","arxiv_id":"1204.6452","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-high-speed-transcription-interface-for","title":"A high speed transcription interface for annotating primary linguistic data","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"design-of-a-hybrid-high-quality-machine","title":"Design of a hybrid high quality machine translation system","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-and-adaptive-sparse-precision-matrix","title":"Fast and Adaptive Sparse Precision Matrix Estimation in High Dimensions","date":"2012-03-17","arxiv_id":"1203.3896","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-detection-of-sparse-principal","title":"Optimal detection of sparse principal components in high dimension","date":"2012-02-23","arxiv_id":"1202.5070","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-feature-selection-by-feature","title":"High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso","date":"2012-02-02","arxiv_id":"1202.0515","repositories_listed":0,"syntology":null},{"url":null,"slug":"greedy-algorithms-for-structurally","title":"Greedy Algorithms for Structurally Constrained High Dimensional Problems","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-dimensional-graphical-model-selection","title":"High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-search-efficiently-in-high","title":"Learning to Search Efficiently in High Dimensions","date":"2011-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"d9d82e603fae227b840c70ff30fea50ddb7595e3ff67d6b4dcf0199ca3a5775e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}