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• Weka
  ...ules, and visualization. It is also well-suited for developing new machine learning schemes. ...cs.waikato.ac.nz/ml/weka/ Weka ] web site. It was developed by the Machine Learning Group at University of Waikato in New Zealand.
  540 bytes (85 words) - 20:09, 26 September 2012
• Class meeting for 10-605 2012 02 28
  ...h Large Datasets 10-605 in Spring 2012|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2012]]. * Randomized algorithms (Bloom filters and LSH); map-reduce version of PageRank
  850 bytes (118 words) - 14:02, 5 March 2012
• Class meeting for 10-605 2013 02 25
  ...h Large Datasets 10-605 in Spring 2013|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2013]]. * [http://dl.acm.org/citation.cfm?id=1219840.1219917 Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Cluste
  750 bytes (102 words) - 16:15, 8 January 2014
• Class meeting for 10-605 in Fall 2016 Probability Review
  ...ith Large Datasets 10-605 in Fall 2016|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall 2016]]. * What are streaming machine learning algorithms: ML algorithms that never load in the data
  949 bytes (131 words) - 15:02, 10 August 2017
• Class meeting for 10-605 Probability Review
  ...ith Large Datasets 10-605 in Fall 2017|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall 2017]]. * What are streaming machine learning algorithms: ML algorithms that never load in the data
  874 bytes (123 words) - 16:46, 30 August 2017
• Class meeting for 10-605 SSL on Graphs
  ...ith Large Datasets 10-605 in Fall 2017|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall 2017]]. ...mmer (2009):] New regularized algorithms for transductive learning Machine Learning and Knowledge Discovery in Databases, 442-457
  2 KB (214 words) - 11:20, 14 November 2017
• Class meeting for 10-405 Probability Review
  ...h Large Datasets 10-405 in Spring 2018|schedule]] for the course [[Machine Learning with Large Datasets 10-405 in Spring 2018]]. * What are streaming machine learning algorithms: ML algorithms that never load in the data
  945 bytes (137 words) - 13:27, 24 January 2018
• Class meeting for 10-405 SSL on Graphs
  ...h Large Datasets 10-405 in Spring 2018|schedule]] for the course [[Machine Learning with Large Datasets 10-405 in Spring 2018]]. ...mmer (2009):] New regularized algorithms for transductive learning Machine Learning and Knowledge Discovery in Databases, 442-457
  2 KB (231 words) - 09:50, 30 March 2018
• Class meeting for 10-605 2013 04 01
  ...h Large Datasets 10-605 in Spring 2013|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2013]]. ...p://jmlr.csail.mit.edu/papers/volume10/newman09a/newman09a.pdf Distributed Algorithms for Topic Models], Newman et al, JMLR 2009.
  745 bytes (107 words) - 16:18, 8 January 2014
• Class meeting for 10-605 2012 04 10
  ...h Large Datasets 10-605 in Spring 2012|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2012]]. ...p://jmlr.csail.mit.edu/papers/volume10/newman09a/newman09a.pdf Distributed Algorithms for Topic Models], Newman et al, JMLR 2009.
  808 bytes (119 words) - 16:04, 10 April 2012
• Class meeting for 10-605 Parameter Servers
  ...ith Large Datasets 10-605 in Fall 2017|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall_2017]]. ...w.cs.cmu.edu/~feixia/files/ps.pdf Parameter Server for Distributed Machine Learning]
  1 KB (174 words) - 10:37, 28 November 2017
• Winnow Algorithm
  Winnow Algorithm is a [[category::method | ]] for learning a linear classifier/decision hyper-plane from labeled examples. It scales w ...n Irrelevant Attributes Abound: A New Linear-threshold Algorithm", Machine Learning]
  635 bytes (79 words) - 05:09, 6 November 2012
• Class meeting for 10-405 Parameter Servers
  ...h Large Datasets 10-405 in Spring 2018|schedule]] for the course [[Machine Learning with Large Datasets 10-405 in Spring 2018]]. ...w.cs.cmu.edu/~feixia/files/ps.pdf Parameter Server for Distributed Machine Learning]
  1 KB (174 words) - 14:29, 15 January 2018
• Class meeting for 10-605 Randomized
  ...ith Large Datasets 10-605 in Fall 2016|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall_2016]]. * [http://dl.acm.org/citation.cfm?id=1219840.1219917 Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Cluste
  1 KB (223 words) - 15:28, 11 August 2016
• Class meeting for 10-605 SGD for MF 2 and Randomized Algorithms
  ...h Large Datasets 10-605 in Spring 2014|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2014]]. * [http://www.cs.cmu.edu/~wcohen/10-605/randomized-algs.pptx Randomized Algorithms - Slides]
  877 bytes (123 words) - 10:22, 26 February 2014
• Class Meeting for 10-710 09-29-2011
  ...ds for Structured and Interdependent Output Variables]. Journal of Machine Learning Research 6:1453–1484. ...ith 2011]; also, A.5 (in the appendix) discusses "aggressive" optimization algorithms
  2 KB (261 words) - 18:23, 28 September 2011
• Class meeting for 10-605 Graphs 2
  ...h Large Datasets 10-605 in Spring 2014|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2014]]. * [http://www.umiacs.umd.edu/~amit/Papers/goyalPointQueryEMNLP12.pdf Sketch Algorithms for Estimating Point Queries in NLP.] Amit Goyal, Hal Daume III, and Graha
  936 bytes (135 words) - 08:15, 28 April 2014
• Class meeting for 10-605 Scalable PageRank
  ...ith Large Datasets 10-605 in Fall 2016|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Fall_2016]]. ...p], [http://www.cs.cmu.edu/~wcohen/10-605/randomized-algs-2.pdf Randomized Algorithms PDF version].
  2 KB (321 words) - 12:31, 10 August 2016
• Class meeting for 10-605 2013 02 18
  ...h Large Datasets 10-605 in Spring 2013|schedule]] for the course [[Machine Learning with Large Datasets 10-605 in Spring_2013]]. * [http://dl.acm.org/citation.cfm?id=1219840.1219917 Randomized Algorithms and NLP: Using Locality Sensitive Hash Functions for High Speed Noun Cluste
  1,010 bytes (140 words) - 16:13, 8 January 2014
• NIPS 1988-1999
  ...cognitive science (CS), control and navigation (CN), implementations (IM), learning theory (LT), neuroscience (NS), signal processing (SP), vision sciences (VS
  501 bytes (71 words) - 15:24, 31 March 2011

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