Semi-supervised learning - PDFSEARCH.IO - Document Search Engine

Semi-supervised learning
Results: 318

#	Item
171	Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley, Jure Leskovec, Dan Jurafsky Stanford Abstract—The majority of online reviews consist of plaintext feedback together with a single numeric scor Add to Reading List Source URL: i.stanford.edu Language: English - Date: 2013-04-23 21:45:38 Science Statistics Computational linguistics Automatic summarization Data mining Beer rating Sentiment analysis Semi-supervised learning Grammatical aspect Machine learning Artificial intelligence Natural language processing
172	Semi-Supervised Learning with the Graph Laplacian: The Limit of Infinite Unlabelled Data Boaz Nadler Dept. of Computer Science and Applied Mathematics Weizmann Institute of Science Rehovot, Israel 76100 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2009-11-01 04:44:55 Linear algebra Operator theory Fourier analysis Algebraic graph theory Laplacian matrix matrices Eigenvalues and eigenvectors Hilbert space Supervised learning Algebra Mathematical analysis Mathematics
173	Semi-supervised Eigenvectors for Locally-biased Learning Michael W. Mahoney Department of Mathematics Stanford University Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2013-02-21 23:42:47 Matrix theory Singular value decomposition Multivariate statistics Eigenvalues and eigenvectors Graph partition Generalized eigenvector Dimension reduction Matrix Eigendecomposition of a matrix Algebra Mathematics Linear algebra
174	Infomation based supervised and semi-supervised feature selection Sang-Keun Lee, Seung-Joon Yi, Byoung-Tak Zhang School of Computer Science and Engineering Seoul National University Add to Reading List Source URL: clopinet.com Language: English - Date: 2003-12-10 06:27:48 Statistical classification Feature selection Machine learning Statistics Bayesian statistics Naive Bayes classifier
175	LanguageNet • Signal Learning: Acoustic Landmarks – Mark Hasegawa‐Johnson – Thomas Huang • Semi‐Supervised Learning of Latent Representations – Jeff Bilmes Add to Reading List Source URL: www.iarpa.gov Language: English - Date: 2014-04-07 14:53:56 Learning Regularization Cognition Machine learning Artificial intelligence Supervised learning
176	Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed] Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2003-01-15 10:44:57 Mathematics Support vector machine Supervised learning Structural risk minimization Transduction Cross-validation Mathematical optimization Vector space Quadratic programming Statistics Algebra Machine learning
177	¨ t Augsburg Universita Active Learning in Parallel Universes Nicolas Cebron and Michael R. Berthold Report[removed] Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:01:57 Learning Supervised learning Co-training Statistical classification Multiverse Support vector machine Active learning Parallel universe Semi-supervised learning Machine learning Statistics Artificial intelligence
178	A Comparative Study of Methods for Transductive Transfer Learning Andrew Arnold, Ramesh Nallapati and William W. Cohen Machine Learning Department, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:44:25 Learning Transduction Support vector machine Semi-supervised learning Supervised learning Statistical classification Machine learning Statistics Artificial intelligence
179	Semi-Supervised Laplacian Regularization of Kernel Canonical Correlation Analysis Matthew B. Blaschko, Christoph H. Lampert, and Arthur Gretton Max Planck Institute for Biological Cybernetics Department of Empirical Infe Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2009-03-17 05:35:09 Machine learning Linear algebra Quantum field theory Summability methods Tikhonov regularization Regularization Supervised learning Laplacian matrix Eigenvalues and eigenvectors Algebra Mathematics Mathematical analysis
180	Recognizing Activities in Multiple Contexts using Transfer Learning T.L.M. van Kasteren and G. Englebienne and B.J.A. Kr¨ose Intelligent Systems Lab Amsterdam (ISLA) Science Park, Kruislaan 403, 1098 SJ Amsterdam, The N Add to Reading List Source URL: www.aaai.org Language: English - Date: 2008-10-15 16:33:56 Markov models Estimation theory Statistical theory Expectation–maximization algorithm Activity recognition Hidden Markov model Maximum likelihood Semi-supervised learning Pattern recognition Statistics Machine learning Artificial intelligence

UPDATE