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Supervised learning
Results: 1557

#	Item
81	Max-Margin Multiple-Instance Dictionary Learning Xinggang Wang† Baoyuan Wang‡ Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2013-06-24 00:00:30 Machine learning Artificial intelligence Learning Multiple instance learning Support vector machine Multiple-instance learning Conference on Computer Vision and Pattern Recognition Pattern recognition K-means clustering Multi-label classification Statistical classification Supervised learning
82	Journal of Experimental Psychology: General 2008, Vol. 137, No. 1, 52–72 Copyright 2008 by the American Psychological Association/$12.00 DOI: Add to Reading List Source URL: faculty.psy.ohio-state.edu Language: English - Date: 2011-09-06 16:26:27 Semantics Machine learning Cognition Academia Cognitive science Prototype theory Categorization Entropy Affect Supervised learning
83	“What is... Dengue Fever?” Modeling and Predicting Pronunciation Errors in a Text-to-Speech System Andrew Rosenberg1 , Raul Fernandez2 , Bhuvana Ramabhadran2 1 Computer Science Department, Queens College (CUNY), New Add to Reading List Source URL: speech.cs.qc.cuny.edu Language: English - Date: 2012-10-05 14:14:23 Machine learning Statistical classification Support vector machine Ensemble learning Supervised learning Binary classification Classifier Cognition Sampling Information Cognitive science Probabilistic classification
84	Towards Anytime Active Learning: Interrupting Experts to Reduce Annotation Costs Maria E. Ramirez-Loaiza Aron Culotta Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2013-07-08 06:03:55 Machine learning Statistical classification Artificial intelligence Learning Support vector machine Pattern recognition Supervised learning Linear classifier Naive Bayes classifier Generalization error Document classification
85	Estimators for Supervised Learning Ronald DeVore ∗ Abstract Add to Reading List Source URL: math.nyu.edu Language: English - Date: 2004-03-09 17:00:21 Estimation theory Statistics Estimator Least squares M-estimator Robust statistics
86	Automatic Disambiguation of Chinese Modal Expressions - A Supervised Machine Learning Experiment Ting Chi Georgetown University The ambiguity of modal expressions is a major obstacle to natural language processing (NLP). Add to Reading List Source URL: www.macsim.us Language: English - Date: 2013-04-03 14:10:09 Modality Grammatical moods Philosophy Metaphysics Grammar Linguistic modality Natural language processing Modal verb Epistemic modality
87	Temporal Difference Learning to Detect Unsafe System States Huazhong Ning∗ , Wei Xu† , Yue Zhou∗ , Yihong Gong† , Thomas Huang∗ ∗ ECE Department, U. of Illinois at Urbana-Champaign, Urbana, IL 61801. {hning2, Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2008-08-06 16:36:02 Applied mathematics Artificial intelligence XT Learning Reinforcement learning Artificial neural network Machine learning Supervised learning
88	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English Artificial intelligence Ensemble learning Learning Machine learning Statistical classification Cascading classifiers AdaBoost Boosting Face recognition Classifier Supervised learning Linear discriminant analysis
89	Learning Online Smooth Predictors for Realtime Camera Planning using Recurrent Decision Trees ˚ Jianhui Chen ˚ Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2016-03-21 19:21:46 Machine learning Artificial intelligence Learning Kalman filter Decision tree learning Conditional random field Pattern recognition Loss function Semi-supervised learning Structured prediction Prediction Artificial neural network
90	Around Inverse Reinforcement Learning and Score-based Classification Matthieu Geist IMS - MaLIS Research Group (Supélec) Metz, France Add to Reading List Source URL: www.metz.supelec.fr Language: English - Date: 2014-01-18 03:53:53 Machine learning Artificial intelligence Learning Applied mathematics Computational neuroscience Dynamic programming Stochastic control Reinforcement learning Apprenticeship learning Markov decision process Artificial neural network Supervised learning

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