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Machine learning
Results: 10129

#	Item
791	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field
792	Learning-based Entity Resolution with MapReduce Lars Kolb1 Hanna Köpcke2 1 Add to Reading List Source URL: dbs.uni-leipzig.de Language: English - Date: 2011-11-03 05:57:13 Concurrent computing Computing Parallel computing Distributed computing architecture MapReduce Statistical classification Data-intensive computing Machine learning Apache Hadoop Support vector machine Frame language Record linkage
793	Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series Hoang-Vu Nguyen◦ Jilles Vreeken◦ Add to Reading List Source URL: eda.mmci.uni-saarland.de Language: English - Date: 2016-01-28 05:19:57 Statistics Multivariate statistics Machine learning Dimension reduction Principal component analysis Numerical analysis Dimensionality reduction Curse of dimensionality KullbackLeibler divergence Divergence Pattern recognition Normal distribution
794	IMPROVING SPEAKER DIARIZATION BY CROSS EM REFINEMENT Huazhong Ning Wei Xu, Yihong Gong Thomas Huang Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:31:30 Statistics Machine learning Cluster analysis Artificial intelligence Data mining Geostatistics Hierarchical clustering Speaker diarisation Image segmentation Mixture model Expectationmaximization algorithm Determining the number of clusters in a data set
795	On the Modal Understanding of Triadic Contexts Frithjof Dau and Rudolf Wille Technische Universitat Darmstadt, Fachbereich Mathematik Schlogartenstr. 7, D{64289 Darmstadt, fdau, Add to Reading List Source URL: www.dr-dau.net Language: English - Date: 2007-10-31 23:07:37 Logic Mathematics Philosophy Lattice theory Data mining Formal concept analysis Machine learning Ontology Algebraic logic Boolean algebra Binary relation Modal logic
796	A deep-network solution towards model-less obstacle avoidance Lei Tai1 , Shaohua Li2 , Ming Liu1,2 Abstract— Obstacle avoidance is the core problem for mobile robots. Its objective is to allow mobile robots to explore Add to Reading List Source URL: ram-lab.com Language: English - Date: 2016-08-03 06:46:08 Computational neuroscience Artificial intelligence Cybernetics Neuroscience Artificial neural networks Formal sciences Machine learning Computer vision Convolutional neural network Deep learning Robotics Pattern recognition
797	GPU Acceleration for Machine Learning John Canny^ Computer Science Division University of California, Berkeley ^ Google Research, 2016 Add to Reading List Source URL: matroid.com Language: English - Date: 2016-08-06 02:51:37 GPGPU Computing Concurrent computing Computer architecture Parallel computing Graphics hardware Video cards Graphics processing unit Compute kernel CUDA FLOPS
798	Microsoft Word - 4_Talich_et_al_edited Add to Reading List Source URL: naki.vugtk.cz Language: English - Date: 2013-05-28 05:01:42 Computer graphics Cartography Digital geometry Computing Electronic engineering Machine learning Computer display standards Integrated circuits Geographic information system Statistical classification Map Pixel
799	Ping Li Probabilistic Hashing for Efficient Search and Learning July 12, 2012 Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:30:07 Machine learning Learning Statistical classification Artificial intelligence Dimension reduction Support vector machine Random projection

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