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Machine learning
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#	Item
971	http://priml.upenn.edu PRιML Penn Research in Machine Learning School of Engineering & Applied Science \| The Wharton School Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-09-27 18:27:34 Michael Kearns Mohri Boosting Machine learning Bayesian network Robert Schapire Littmann Nonparametric statistics Ben Taskar
972	Genome Informatics 15(2): 131–Recovering Genetic Regulatory Networks from Micro-Array Data and Location Analysis Data Add to Reading List Source URL: www.jsbi.org Language: English - Date: 2004-12-20 01:22:45 Gene expression Networks Cybernetics Dimension reduction Feature selection Model selection Algorithm Gene regulatory network DNA microarray Bayesian network Regression analysis Machine learning
973	Eﬃcient Uncondi,onally Secure Comparison and Privacy Preserving Machine Learning Classiﬁca,on Protocols Bernardo David Rafael Dowsley Raj KaE Add to Reading List Source URL: security-lab.jaist.ac.jp Language: English - Date: 2015-11-22 02:25:26 Cryptography Blinding
974	3rd Annual Health Econometrics Workshop Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2011-09-23 00:53:50 Statistical models Machine learning Estimation theory Categorical data Latent class model Mixture model Maximum likelihood estimation Errors-in-variables models Latent variable model
975	Towards Using Reranking in Hierarchical Classification Qi Ju, Richard Johansson, and Alessandro Moschitti DISI, University of Trento, Italy {qi,johansson,moschitti}@disi.unitn.it Add to Reading List Source URL: livingknowledge.europarchive.org Language: English - Date: 2012-01-23 06:47:21 Hilbert space Operator theory Statistical classification Support vector machine NP Feature selection Machine learning Oracle machine Kernel method Tree kernel Positive-definite kernel
976	The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284. Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-08 08:36:36 Natural language processing Computational linguistics Semantics Vectors Machine learning Latent semantic analysis Semantic similarity Distributional semantics Word embedding Vector space model Document-term matrix Euclidean vector
977	Player Falling Detection in Soccer Matches Videos O. V. Ramana Murthy1 1 Vision & Sensing, HCC Lab, ESTeM, Add to Reading List Source URL: www.large-scale-sports-analytics.org Language: English - Date: 2016-03-23 17:27:34 Feature detection Machine learning Pattern recognition Feature Optical flow Region of interest
978	To Swing or not to Swing: Learning when (not) to Advertise Andrei Broder† , Massimiliano Ciaramita‡ , Marcus Fontoura, Evgeniy Gabrilovich† , Vanja Josifovski† , Donald Metzler† , Vanessa Murdock‡ , Vassilis Add to Reading List Source URL: fontoura.org Language: English - Date: 2010-02-23 00:22:02 Internet marketing Support vector machine Learning to rank Quality Score Online advertising Search advertising Pay per click Targeted advertising Feature selection Advertising Ranking
979	MLSS 2014 – Introduction to Machine Learning Lecture 1 J. Zico Kolter July 7, 2014 Add to Reading List Source URL: www.mlss2014.com Language: English - Date: 2014-07-07 07:00:05 Machine learning Supervised learning Test set MNIST database Overfitting Logistic model tree Statistical learning theory
980	INVESTIGATION OF LATENT TRACES USING INFRARED REFLECTANCE HYPERSPECTRAL IMAGING Till Schubert, Susanne Wenzel, Ribana Roscher, Cyrill Stachniss Department of Photogrammetry, Institute of Geodesy and Geoinformation, Unive Add to Reading List Source URL: www.ipb.uni-bonn.de Language: English - Date: 2016-05-09 08:52:58 Spectroscopy Remote sensing Statistical classification Electromagnetic spectrum Machine learning Hyperspectral imaging Airborne real-time cueing hyperspectral enhanced reconnaissance Linear discriminant analysis Infrared Ultraviolet Spectral imaging Binary classification

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