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Feature learning
Results: 920

#	Item
311	Automatic Detection of Craters in Planetary Images: An Embedded Framework Using Feature Selection and Boosting Wei Ding1 , Tomasz F. Stepinski2 , Lourenco Bandeira3 , Ricardo Vilalta4 Youxi Wu5 , Zhenyu Lu5 , and Tianyu Add to Reading List Source URL: www.cs.umb.edu Language: English - Date: 2010-09-05 18:04:21 Learning Computational statistics Lunar science Supervised learning Lunar craters AdaBoost Impact crater Boosting Müller Ensemble learning Machine learning Artificial intelligence
312	An ensemble of classiﬁers approach with multiple sources of information Roberto Santana, Concha Bielza, Pedro Larrañaga Departamento de Inteligencia Artiﬁcial, Universidad Politécnica de Madrid roberto.santana@upm. Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:35 Machine learning Econometrics Covariance and correlation Correlation and dependence Feature selection Decision tree learning Cross-validation Logistic regression Statistics Regression analysis Model selection
313	Jolly Phonics and Letters and Sounds Frequently Asked Questions Do both programmes cover the same material? Both programmes feature direct, daily, systematic teaching of phonics for reading and writing. They are both act Add to Reading List Source URL: jolly2.s3.amazonaws.com Language: English - Date: 2014-12-02 08:47:41 Reading Phonetics Orthography Learning to read Jolly Phonics Synthetic phonics Spelling Whole language Analytical phonics Education Linguistics Phonics
314	Visual saliency estimation by integrating features using multiple kernel learning Yasin Kavak, Erkut Erdem, and Aykut Erdem arXiv:1307.5693v1 [cs.CV] 22 Jul 2013 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-07-22 20:31:30 Neuropsychology Computer vision Image processing Attention Cognitive neuroscience Salience Feature integration theory Support vector machine Supervised learning Neuroscience Cognitive science Artificial intelligence
315	CS229 Lecture notes Andrew Ng Part VI Regularization and model Add to Reading List Source URL: see.stanford.edu Language: English - Date: 2007-12-11 16:41:19 Estimation theory Model selection Information theory Maximum likelihood Supervised learning Feature selection Kullback–Leibler divergence Regularization Mutual information Statistics Statistical theory Machine learning
316	Feature Selection using Multiple Streams Paramveer S. Dhillon Computer and Information Science University of Pennsylvania Philadelphia, PA, U.S.A Add to Reading List Source URL: www.pdhillon.com Language: English - Date: 2010-10-01 23:38:39 Model selection Dimension reduction Feature selection Support vector machine Stepwise regression Regularization Supervised learning Gmax Lasso Statistics Regression analysis Machine learning
317	IEEE-28MSP01-Feature-TEMPLATE Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-02-18 03:09:52 Computational neuroscience Science Computational statistics Computational linguistics Hidden Markov model Boltzmann machine Speech recognition Artificial neural network Backpropagation Neural networks Statistics Machine learning
318	PHD COU RSE HIGH-DIMENSIONAL ECONOMETRICS: ORACLE PROPERTY, ORACLE INEQUALITIES AND INFERENCE Add to Reading List Source URL: econ.au.dk Language: English - Date: 2015-02-10 08:14:18 Regularization Science Learning Analysis Econometrics Feature selection Lasso
319	CS 2750 Machine Learning Lecture 2 Designing a learning system Milos Hauskrecht Add to Reading List Source URL: people.cs.pitt.edu Language: English - Date: 2003-01-22 10:59:48 Artificial intelligence Estimation theory Maximum likelihood Feature selection Supervised learning Statistics Machine learning Statistical theory
320	Artificial Intelligence ELSEVIER Artificial Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2010-10-25 23:26:18 Machine learning Information science Dimension reduction Feature selection Model selection Supervised learning Pattern recognition Relevance Algorithm Science Statistics Knowledge

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