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Machine learning
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#	Item
771	Learning and Exploration in Automated Theorem Proving Moa Johansson Chalmers University of Technology Abstract This note describes a new project with the purpose of combining the advantages of statistical machine learnin Add to Reading List Source URL: www.cse.chalmers.se Language: English - Date: 2015-08-18 04:15:56 Mathematics Theoretical computer science Automated theorem proving Logic Logic in computer science Mathematical proofs Artificial intelligence Reasoning ACL2 Automated reasoning Proof assistant Isabelle
772	Journal of Machine Learning Research X (201X) X-XX Submitted 10/13; Published X/XX The VC-Dimension of SQL Queries and Selectivity Estimation Through Sampling Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Data management Data Computing Database management systems SQL Query optimization Data warehousing VC dimension Join Dimension Monotonic query
773	Machine learning techniques available in pRoloc Laurent Gatto∗ June 14, 2016 Contents 1 Introduction Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2016-06-14 23:40:44 Statistical classification Machine learning Cognition Cognitive science K-nearest neighbors algorithm Support vector machine Supervised learning Information Generalization error Naive Bayes classifier
774	AITF ANNUAL REPORT 2016 DR. RICHARD SUTTON REINFORCEMENT LEARNING AND ARTIFICIAL INTELLIGENCE AITF ANNUAL REPORT MARCH 31, EXECUTIVE SUMMARY Add to Reading List Source URL: webdocs.cs.ualberta.ca Language: English - Date: 2016-05-16 19:35:21 Computational neuroscience Applied mathematics Cybernetics Cognitive science Neuroscience Belief revision Reinforcement learning Machine learning Artificial neural network Temporal difference learning Deep learning Reinforcement
775	TUKE MediaEval 2012: Spoken Web Search using DTW and Unsupervised SVM Jozef Vavrek Matúš Pleva Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-10-08 15:13:04 Statistical classification Support vector machine Dynamic time warping Statistics Learning Artificial intelligence
776	Sparse Models of Natural Language Text Dani Yogatama CMU-LTILanguage Technologies Institute School of Computer Science Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2015-08-18 01:45:01 Artificial intelligence Statistics Machine learning Learning Computational neuroscience Artificial neural networks Lasso Word embedding Language model Structured sparsity regularization Matrix regularization
777	Minimum trajectory error training for deep neural networks, combined with stacked bottleneck features Zhizheng Wu Simon King Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English Computational linguistics Humancomputer interaction Machine learning Artificial intelligence Speech recognition Speech synthesis Recurrent neural network Artificial neural network Acoustic model Digital News Network Hidden Markov model
778	Microsoft PowerPoint - active-learning.pptx Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2014-11-20 14:52:04 Machine learning Statistical classification Semi-supervised learning Draft:Active Learning
779	SUBMITTED FOR PUBLICATION TO: , JUNE 30, Multi-Camera Face Recognition by Reliability-Based Selection Add to Reading List Source URL: www.vast.uccs.edu Language: English - Date: 2007-02-17 09:44:02 Artificial intelligence Machine learning Face recognition Learning Ensemble learning Statistical classification Boosting Face detection Pattern recognition Eigenface AdaBoost Facial recognition system
780	Expos´ e: An Ontology for Data Mining Experiments Joaquin Vanschoren1 and Larisa Soldatova2 1 Add to Reading List Source URL: lirias.kuleuven.be Language: English - Date: 2012-09-05 07:05:44 Machine learning Ontology Information science Technical communication Artificial intelligence Cognitive science Knowledge representation Cognition Upper ontology Bioinformatics Workflow Supervised learning

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