Cristiano Cervellera, Marco Muselli  Home/Search
Context
Related
| ieiit.cnr.it/~muselli/pap...annpr03.pdf Cached: PS.gz PS PDF This document uses CoBlitz to cache paper downloads. If your firewall is blocking outgoing connections to port 3125, you can use these links to download local copies.
Image Update HelpPS.gz PS PDF From: ieiit.cnr.it/~muse...publications (more) (Enter author homepages) |
Rate this article:      (best)Comment on this article |
Abstract: When the position of each input vector in the training set is not fixed beforehand, a deterministic approach can be adopted to face with the general problem of learning. In particular, the consistency of the Empirical Risk Minimization (ERM) principle can be established, when the points in the input space are generated through a purely deterministic algorithm (deterministic learning). (Update)
Active bibliography (related documents): More All
2.5: Deterministic Design for Neural Network Learning: - An Approach Based (Correct)
0.7: A Deterministic Learning Approach Based on Discrepancy - Cervellera, Muselli (Correct)
0.3: Water Reservoirs Management under Uncertainty by.. - Baglietto.. (2004) (Correct)
Similar documents based on text: More All
0.3: ICT, National Policies, and Impact On Schools and Teachers' - Development Rosa Maria (Correct)
0.1: Uso Di Piani Di Problem-Solving Nel Riconoscimento Di Piani E.. - Ardissono (1996) (Correct)
0.1: La Valutazione Di Interfacce Intelligenti Per Il.. - Brajnik, Mizzaro, Tasso (1996) (Correct)
BibTeX entry: (Update)
@misc{ cervellera-pattern,
author = "Cristiano Cervellera and Marco Muselli",
title = "Pattern Recognition as a Deterministic Problem: An Approach Based on Discrepancy",
url = "citeseer.ist.psu.edu/676869.html" }
Citations (may not include all citations):957 The Probabilistic Method (context) - Alon, Spencer - 2000 ACM DBLP
947 Statistical Learning Theory (context) - Vapnik - 1995 ACM
623 Multilayer feedforward networks are universal approximators (context) - Hornik, Stinchcombe et al. - 1989 ACM
465 Learnability and the VapnikChervonenkis dimension (context) - Blumer, Ehrenfeucht et al. - 1989
375 Probability inequalities for sum of bounded random variables (context) - Hoeffding - 1961
357 Approximation by superpositions of a sigmoidal function (context) - Cybenko - 1989
309 Random Number Generation and Quasi-Monte Carlo Methods (context) - Niederreiter - 1992 ACM
296 A Probabilistic Theory of Pattern Recognition (context) - Devroye, orfi et al. - 1997
214 Universal approximation bounds for superpositions of a sigmo.. (context) - Barron - 1993
176 Regularization theory and neural networks architectures - Girosi, Jones et al. - 1995 ACM
115 Uniform Distribution of Sequences (context) - Kuipers, Niederreiter - 1974
105 Information-based objective functions for active data select.. - MacKay - 1992 ACM
77 Neural network exploration using optimal experiment - Cohn - 1994
42 Number-theoretic Methods in Statistics (context) - Fang, Wang - 1994
36 Applications of Number Theory to Numerical Analysis (context) - Hua, Wang - 1981
24 Active learning in multilayer perceptrons - Fukumizu - 1996 DBLP
16 Scale-sensitive dimensions, uniform convergence, and learnab.. - Alon, Ben-David et al. - 1997 ACM DBLP
12 Funktionen von Beschr ankter Variation in der Theorie der Gl.. (context) - Hlawka - 1961
6 Institute of Mathematical Statistics (context) - Pollard, Processes et al. - 1990
5 Query construction for neural networks using the bootstrap (context) - Kindermann, Paass et al. - 1995
4 London: Springer-Verlag (context) - Vidyasagar, of et al. - 1997
3 Deterministic design for neural network learning: an approac.. (context) - Cervellera, Muselli
3 Bemerkungen zu einigen Anwendungen gleichverteilter Folgen (context) - Blumlinger, Tichy - 1986
3 PAC learning in non-linear FIR models (context) - Najarian, Dumont et al. - 2001
2 Uber eine zahlentheoretische Methode zur numerischen Integra.. (context) - Tichy - 1984
2 Uniform convergence of the frequencies of occurrence of even.. (context) - Vapnik, Chervonenkis - 1968
Documents on the same site (http://www.ieiit.cnr.it/~muselli/publications.html): More
On Convergence Properties of Pocket Algorithm - Muselli (1997) (Correct)
Simple Expressions for Success Run Distributions in Bernoulli.. - Muselli (1996) (Correct)
A Clustering Technique for the Identification of.. - Ferrari-Trecate.. (Correct)
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC