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Classifier
Results: 1687

#	Item
891	arXiv:1403.0020v1 [math.LO] 28 Feb[removed]Topos Semantics for Higher-Order Modal Logic Steve Awodey∗ Kohei Kishida† Add to Reading List Source URL: www.andrew.cmu.edu Language: English - Date: 2014-07-29 07:19:05 Sheaf theory Heyting algebra Lattice theory Mathematical constructivism Order theory Topos Adjoint functors Sheaf Subobject classifier Category theory Abstract algebra Mathematics
892	Machine Learning Classification over Encrypted Data Raphael Bost Raluca Ada Popa Stephen Tu Add to Reading List Source URL: www.internetsociety.org Language: English - Date: 2015-02-07 13:16:35 Machine learning Cryptography Ensemble learning Homomorphic encryption Paillier cryptosystem AdaBoost Naive Bayes classifier Linear classifier Perceptron Statistics Statistical classification Public-key cryptography
893	Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan · Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2012-04-02 22:06:30 Ensemble learning Supervised learning Multi-label classification Multiclass classification Regression analysis Feature selection Boosting Correlation and dependence Classifier chains Statistics Machine learning Statistical classification
894	On Compact Codes for Spatially Pooled Features Yangqing Jia Oriol Vinyals Trevor Darrell UC Berkeley EECS, Berkeley, CA[removed]USA Add to Reading List Source URL: jmlr.org Language: English - Date: 2013-08-14 01:36:43 Statistical classification Cybernetics Learning Machine learning Feature selection Principal component analysis Segmentation Cluster analysis Linear classifier Statistics Multivariate statistics Data analysis
895	Discriminatively Activated Sparselets Ross Girshick∗ Hyun Oh Song∗ Trevor Darrell University of California, Berkeley, Berkeley, CA 94720. Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Statistical classification Abstract algebra Linear algebra Machine learning Numerical linear algebra Linear classifier Support vector machine One-shot learning Vector space Algebra Mathematics Statistics
896	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. Devis Tuiaa , R´emi Flamaryb , Nicolas Courtyc b Laboratoire a Department of Geography, University of Zurich, Switz Add to Reading List Source URL: remi.flamary.com Language: English - Date: 2015-01-14 03:20:20 Infrared imaging Signal processing Filter Hyperspectral imaging Feature selection Support vector machine Linear classifier Electronic filter Statistics Statistical classification Spectroscopy
897	IntelliCorp, Inc. Response to the OMG Analysis and Design Task Force UML RTF 2.0 Request for Information Suggested Enhancements for UML Add to Reading List Source URL: www.conradbock.org Language: English - Date: 2011-08-25 18:51:33 Software engineering Systems Modeling Language Software development Diagrams Knowledge representation Class diagram Classifier Entity-relationship model Activity diagram Unified Modeling Language Data modeling UML diagrams
898	¨ t Augsburg Universita Active Improvement of Hierarchical Object Features under Budget Constraints Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:08:22 Artificial intelligence Learning Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Object categorization from image search Statistics Machine learning Statistical classification
899	¨ t Augsburg Universita Towards Learning with Objects in a Hierarchical Representation Nicolas Cebron Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:04:39 Artificial intelligence Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Linear classifier Statistics Machine learning Statistical classification
900	1 Film Classification by Trailer Features Edmund Helmer and Qinghui Ji December 14, 2012 Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 19:55:28 Learning Bayesian statistics Ensemble learning Naive Bayes classifier Random forest Motion Picture Association of America film rating system Trailer Pattern recognition Support vector machine Statistics Statistical classification Machine learning

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