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VC dimension
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31	SOME RESULTS IN STATISTICAL LEARNING THEORY WITH RELEVANCE TO NONLINEAR SYSTEM IDENTIFICATION Robert C. Williamson Department of Engineering, Australian National University, Canberra, Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-27 00:08:49 Dimension Statistical classification VC dimension Glivenko–Cantelli theorem Function Regression analysis Linear regression Statistics Econometrics Computational learning theory
32	Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes Wee Sun Lee Dept. of Systems Engineering, RSISE, Aust. National University, Canberra, ACT 0200, Australia. Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:22:01 Algebra Computational statistics Interpolation Radial basis function network Differentiable manifold Artificial neural network Activation function Inverse function theorem Radial basis function Mathematics Mathematical analysis Neural networks
33	1 Summary. We investigate the generalisation performance of consistent classifiers, i.e. classifiers that are contained in the so-called version space, both from a theoretical and experimental angle. In contrast to class Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-16 18:28:16 Margin classifier Perceptron Linear classifier Support vector machine VC dimension Classifier Statistics Statistical classification Machine learning
34	VC-dimension for characterizing classifiers Note to other teachers and users of these slides. Andrew would be delighted if you found this source material useful in Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:22 Statistics Dimension Statistical classification VC dimension Shattered set Vector space Algebra Mathematics Computational learning theory
35	Learning curves from a modified VC-formalism: a case study A. Kowalczyk & J. Szyma´nski R.C. Williamson Telstra Research Laboratories Department of Engineering Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 07:34:06 Statistical classification Curve General topology Metric geometry VC dimension Statistics Topology Geometry
36	The VC-Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs Peter L. Bartlett Robert C. Williamson Department of Systems Engineering Research School of Information Sciences and Engineering Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 04:19:25 Mathematics Radial basis function Sigmoid function Computational learning theory VC dimension Neural networks Statistics Applied mathematics
37	6.867 Machine learning, lecture 14 (Jaakkola) 1 Lecture topics: • margin and generalization Add to Reading List Source URL: ocw.mit.edu Language: English - Date: 2015-03-15 16:36:56 Dimension Linear algebra Statistical classification Computational learning theory Mixture model VC dimension Kernel Mixture distribution Perceptron Algebra Mathematics Statistics
38	Mehryar Mohri Foundations of Machine Learning Courant Institute of Mathematical Sciences Solution assignment 2 Solution of section B written by Cyril Allauzen. A. VC Dimension Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2010-04-23 13:08:48 Statistical classification Support vector machine VC dimension Normal distribution Vector space Algebra Statistics Mathematics
39	Mehryar Mohri Foundations of Machine Learning Courant Institute of Mathematical Sciences Homework assignment 2 Due: March 19, 2010 A. VC Dimension Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2010-03-10 16:45:10 VC dimension Statistics Statistical classification Support vector machine
40	Review of Le ture 7 • VC dimension dv (H) • Utility of VC dimension 10 Add to Reading List Source URL: work.caltech.edu Language: English - Date: 2014-12-17 00:35:30 Differentiation rules Mathematical analysis