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Feature learning
Results: 920

#	Item
571	Jan Gertheiss & Gerhard Tutz Feature Selection and Weighting by Nearest Neighbor Ensembles Technical Report Number 033, 2008 Add to Reading List Source URL: epub.ub.uni-muenchen.de Language: English - Date: 2012-05-22 05:08:55 Search algorithms Machine learning Econometrics Discrete geometry Nearest neighbor search K-nearest neighbor algorithm Prime number theorem Linear discriminant analysis Feature selection Statistics Information science Mathematics
572	Introduction to Artificial Intelligence[removed]Spring 2011 Homework Assignment 3: Text Categorization Assignment Goals: Add to Reading List Source URL: webcourse.cs.technion.ac.il Language: English - Date: 2011-06-13 11:49:03 Machine learning Dimension reduction Computer vision Computational linguistics Data mining Document classification K-nearest neighbor algorithm Feature extraction Information retrieval Artificial intelligence Science Natural language processing
573	Abstract of “ Toward Practical Planar Graph Algorithms ” by David Elliot Eisenstat, Ph.D., Brown University, May 2014 Many optimization problems involving graphs naturally feature road networks, grids, or other large Add to Reading List Source URL: www.davideisenstat.com Language: English - Date: 2015-01-19 22:58:16 Computational learning theory Dana Angluin Applied mathematics Michael L. Scott Computing Year of birth missing James Aspnes Computer science
574	Modeling Hospitalization Outcomes with Random Decision Trees and Bayesian Feature Selection Thomson Van Nguyen† Bhubaneswar Mishra† Add to Reading List Source URL: ftp.cs.nyu.edu Language: English - Date: 2011-09-15 16:45:15 Ensemble learning Econometrics Model selection Cross-validation Bootstrap aggregating Training set Linear regression Random forest Feature selection Statistics Regression analysis Machine learning
575	Automatic Feature Decomposition for Single View Co-training Minmin Chen, Kilian Q. Weinberger, Yixin Chen mc15, kilian, [removed] Washington University in Saint Louis, 1 Brookings Dr., Saint Louis, MO[removed]USA Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2011-05-16 13:38:17 Artificial intelligence Co-training Linear classifier Supervised learning Semi-supervised learning Support vector machine Classifier Naive Bayes classifier Random subspace method Statistics Machine learning Statistical classification
576	Appl. Math. Inf. Sci. 7, No. 2, [removed]553 Applied Mathematics & Information Sciences An International Journal Add to Reading List Source URL: naturalspublishing.com Language: English - Date: 2013-04-03 00:07:08 Computer vision Image processing Segmentation Support vector machine Feature extraction Linear classifier Statistics Statistical classification Machine learning
577	Ensemble of Collaborative Filtering and Feature Engineered Models for Click Through Rate Prediction Michael Jahrer, Andreas Töscher Opera Solutions 8580 Köflach, Austria Add to Reading List Source URL: kaggle2.blob.core.windows.net Language: English - Date: 2012-08-08 12:27:44 Collective intelligence Statistical models Regularization Economic model Overfitting Model selection Ensemble learning Database management system Artificial neural network Statistics Machine learning Statistical theory
578	Abstract We describe a method for automatic discovery of generalizations about data residing in the Cyc Knowledge Base (KB). Data is exported from the Cyc KB into a feature representation, Add to Reading List Source URL: www.cyc.com Language: English - Date: 2013-01-04 15:11:08 Science Knowledge Cyc Ontology Decision theory Reasoning Decision tree learning Decision tree Inference Artificial intelligence Decision trees Machine learning
579	Document Classification for Focused Topics Russell Power, Jay Chen, Trishank Karthik, Lakshminarayanan Subramanian (power, jchen, trishank, lakshmi)@cs.nyu.edu Abstract Feature extraction is one of the fundamental challe Add to Reading List Source URL: ai-d.org Language: English - Date: 2010-04-24 15:52:47 Natural language processing Information retrieval Statistical classification Machine learning Document classification Naive Bayes classifier Support vector machine Precision and recall Tf*idf Statistics Science Information science
580	1 Activity Recognition on 3D Accelerometer Data (Technical Report) Thomas Bernecker, Franz Graf, Hans-Peter Kriegel, Christian Moennig, Dieter Dill and Christoph Tuermer Add to Reading List Source URL: www.dbs.ifi.lmu.de Language: English - Date: 2013-03-21 09:07:57 Multivariate statistics Dimension reduction Formal sciences Segmentation Feature selection Data mining Principal component analysis Discrete Fourier transform Feature extraction Statistics Machine learning Data analysis

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