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Smøla
Results: 97

#	Item
31	kernlab – An S4 Package for Kernel Methods in R Alexandros Karatzoglou Alex Smola Technische Universit¨ Add to Reading List Source URL: mran.microsoft.com Language: English - Date: 2016-03-29 08:14:54 Machine learning Learning Statistics Statistical classification Nonparametric statistics Geostatistics Kernel method Multivariate statistics Support vector machine Radial basis function kernel Polynomial kernel Positive-definite kernel
32	An Introduction to Machine Learning L6: Structured Estimation Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:35
33	SISE 9128: Introduction to Machine Learning Alex Smola, RSISE ANU Problem Sheet — Week 2 The due date for these problems is Friday, October 19 Teaching Period Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:39
34	Midterm Review Topics we covered Machine Learning Optimization Add to Reading List Source URL: alex.smola.org Language: English - Date: 2015-03-03 21:00:06
35	An Introduction to Machine Learning L4: Support Vector Classification Alexander J. Smola Statistical Machine Learning Program Canberra, ACT 0200 Australia Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:19
36	How the brain doesn’t work Alex Smola: SISEIntroduction to Machine Learning, Lecture 6, http://axiom.anu.edu.au/∼smola/engn4520/lecture6.pdf Page 1 Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:47
37	SISE 9128: Introduction to Machine Learning Alex Smola, RSISE ANU Problem Sheet — Week 2 The due date for these problems is Thursday, October 18 Problem 8 (Linear Programs and ε-insensitive Loss) Assume we have the fo Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:39
38	Overview Regression Definition, Loss function, Quadratic Loss, Linear Loss, Robustness Risk Functionals Expected, Empirical, and Regularized Risk Maximum Likelihood Estimation Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:47
39	Overview What is Learning Theory Basic Idea, Classification, Regression, Novelty Detection, Applications Statistics Probabilities, Distributions, Bayes Rule, Measures Useful Distributions Add to Reading List Source URL: alex.smola.org Language: English - Date: 2013-09-09 02:28:45
40	10-‐701 Recita,on 2: Op,miza,on Jay-‐Yoon Lee Many of the slides are recycled form Dougal Sutherland’s recita,on Add to Reading List Source URL: alex.smola.org Language: English - Date: 2015-02-28 13:00:04

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