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J–Machine
Results: 754

#	Item
281	Appears in From Statistics to Neural Networks: Theory and Pattern Recognition Applications, V. Cherkassky, J.H. Friedman and H. Wechsler (eds.), NATO ASI Series F, Springer-VerlagPrediction Risk and Architecture Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:50 Regression analysis Model selection Least squares Cross-validation Resampling Pruning Overfitting Training set Estimation theory Statistics Machine learning Statistical inference
282	Scaling Up Event and Pattern Detection to Big Data Daniel B. Neill H.J. Heinz III College Carnegie Mellon University E-mail: Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-05-20 10:24:37 NP Applied mathematics Data mining Machine learning Dynamic programming Mathematics Complexity classes Event Probability theory
283	Using Image Moment Invariants to Distinguish Classes of Geographical Shapes J. F. Conley, I. J. Turton, M. N. Gahegan 1 Pennsylvania State University Add to Reading List Source URL: www.geocomputation.org Language: English - Date: 2010-06-23 11:24:18 Computational statistics Statistical classification Invariant K-nearest neighbor algorithm Pattern recognition Classifier Cluster analysis Machine learning Statistics Artificial intelligence
284	The Message Driven Processor Dally, Ahmed, Carrick, Chien, Davison, Fiske, Fyler, Horwat, Keen, Lear, Lethin, Nguyen, Noakes, Nuth, Vestrich, Wills MIT AI Laboratory and Intel Hot Chips III, August 1991 Add to Reading List Source URL: www.hotchips.org Language: English - Date: 2013-07-27 22:44:30 Minicomputers J–Machine Parallel computing Instruction set architectures
285	2012 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, SEPT. 23–26, 2012, SANTANDER, SPAIN QUANTIFYING SPATIOTEMPORAL DYNAMICS OF TWITTER REPLIES TO NEWS FEEDS F Bießmann , J-M Papaioannou , Add to Reading List Source URL: www.user.tu-berlin.de Language: English - Date: 2012-08-15 11:45:13 Real-time web Text messaging Twitter Websites Principal component analysis Kernel principal component analysis Geographic information system RT Time series Statistics Multivariate statistics Social media
286	PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce Biswanath Panda, Joshua S. Herbach, Sugato Basu, Roberto J. Bayardo Google, Inc. [bpanda, jsherbach, sugato]@google.com, [removed] Add to Reading List Source URL: static.googleusercontent.com Language: English - Date: 2012-04-01 20:13:23 Binary trees Machine learning Decision trees Distributed computing architecture MapReduce Parallel computing Decision tree learning Tree traversal B-tree Computing Concurrent computing Computer programming
287	The Jalapen˜o virtual machine by B. Alpern C. R. Attanasio J. J. Barton M. G. Burke Add to Reading List Source URL: suif.stanford.edu Language: English - Date: 2007-04-01 19:34:57 Cross-platform software Java platform Lock Thread Garbage collection Java Pointer Monitor Volatile variable Computing Concurrency control Memory management
288	Also see introduction on p,324, Essays, Vol.9 Reprinted with permission from: J, Inform. Sci. 11:147-59, (North-HoUand): Amsterdam, The Netherlands. Add to Reading List Source URL: www.garfield.library.upenn.edu Language: English - Date: 2001-03-01 15:36:40 Data analysis Data mining Geostatistics Machine learning Cluster Academic discipline Computer cluster Citation index Ridge Statistics Computing Cluster analysis
289	T.C. Memo[removed]UNITED STATES TAX COURT RONALD J. LUTZ, JR. AND PAULA M. LUTZ, Petitioners v. COMMISSIONER OF INTERNAL REVENUE, Respondent Add to Reading List Source URL: www.ustaxcourt.gov Language: English - Date: 2003-04-15 13:45:48 Biloxi Mississippi Human behavior United States Casino Gambling Slot machine
290	A Framework for Clustering Massive-Domain Data Streams Charu C. Aggarwal IBM T. J. Watson Research Center 19 Skyline Drive, Hawthorne, NY, USA [removed] Add to Reading List Source URL: charuaggarwal.net Language: English - Date: 2009-03-29 23:59:19 Cluster analysis Hashing Data mining Data stream clustering K-means clustering Count-Min sketch Segmentation Pattern recognition Determining the number of clusters in a data set Statistics Machine learning Multivariate statistics

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