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Machine learning
Results: 10129

#	Item
931	Synthetic Multi-label Data Streams Jesse Read, Bernhard Pfahringer, Geoff Holmes University of Waikato, Hamilton, New Zealand Feature Space Introduction Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Machine learning Concept drift Data mining Slashdot Multi-label classification
932	Stacked Calibration of Off-Policy Policy Evaluation for Video Game Matchmaking Eric Laufer∗ , Raul Chandias Ferrari∗ , Li Yao∗ , Olivier Delalleau† and Yoshua Bengio∗ ∗ Dept. IRO, University of Montreal Add to Reading List Source URL: eldar.mathstat.uoguelph.ca Language: English - Date: 2016-07-12 12:05:04 Artificial neural network Computational neuroscience Mathematical psychology Reinforcement learning Generalization error Deep learning Bayesian network Economic model Robust statistics Expected value Statistics Machine learning
933	A Tensor Spectral Approach to Learning Mixed Membership Community Models arXiv:1302.2684v4 [cs.LG] 24 OctAnima Anandkumar1 , Rong Ge2 , Daniel Hsu3 , and Sham M. Kakade3 Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-10-27 21:56:48 Networks Graph theory Probability distributions Machine learning Statistical models Community structure Dirichlet distribution Higher-order singular value decomposition Stochastic block model Gibbs sampling Markov chain Tensor
934	Multi-objective Genetic Programming for Visual Analytics Ilknur Icke1 and Andrew Rosenberg1,2 1 The Graduate Center, The City University of New York, Add to Reading List Source URL: eniac.cs.qc.cuny.edu Language: English - Date: 2011-03-10 09:53:36 Multivariate statistics Dimension reduction Statistical classification Machine learning Principal component analysis Dimensionality reduction K-nearest neighbors algorithm Feature extraction Curse of dimensionality Linear discriminant analysis Multidimensional scaling Kernel principal component analysis
935	AMRITA@FIRE-2014: Morpheme Extraction for Tamil using Machine Learning Anand Kumar M, S Rajendran and K.P Soman Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Linguistic morphology Morpheme Morphology Morphological derivation Inflection Affix Word stem Agglutination Part-of-speech tagging Agglutinative language Word Compound
936	Faculty Members and Labs in Department of Computer Science Professor Masami Hagiya The world is full of computation! From Anshin-Anzen (reliable and safe) to Ayashii-Abunai (enigmatic and adventurous) Whi Add to Reading List Source URL: www.i.u-tokyo.ac.jp Language: English - Date: 2016-04-21 12:04:24 Theoretical computer science Emerging technologies Bioinformatics Computer science Natural computing Quantum computing Computational science Systems biology Computing Quantum information Machine learning Outline of computer science
937	Tilburg centre for Creative Computing Tilburg University http://www.uvt.nl/ticc P.O. BoxLE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Multivariate statistics Dimension reduction Machine learning Computational statistics Dimension Nonlinear dimensionality reduction Dimensionality reduction Isomap Principal component analysis Kernel principal component analysis Semidefinite embedding Kernel method
938	Beating the Bookmakers: Leveraging Statistics and Twitter Microposts for Predicting Soccer Results Fréderic Godin1 Jasper Zuallaert1 Add to Reading List Source URL: www.large-scale-sports-analytics.org Language: English - Date: 2016-03-23 17:27:33 Futurology Prediction Scientific method Social information processing Machine learning Paul the Octopus Forecasting The Wisdom of Crowds
939	Large-margin Structured Learning for Link Ranking Stephen H. Bach Bert Huang Lise Getoor Department of Computer Science University of Maryland College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-15 11:47:48 Regression analysis Structured prediction Support vector machines Statistical classification Machine learning Ordinal regression Loss function Mathematical optimization Hinge loss Loss functions for classification
940	Large-Scale Machine Learning at Verizon Ashok N. Srivastava, Ph.D. Chief Data Scientist, Verizon A Transition in Roles Add to Reading List Source URL: mmds-data.org Language: English - Date: 2014-06-17 15:16:28 Broadband Video on demand Marketing Data management Advertising Big data Analytics Verizon Communications Clickstream Advertising network Targeted advertising Verizon Fios

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