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» Neural Network Learning: Testing Bounds on Sample Complexity
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PRIS
2004
13 years 6 months ago
Neural Network Learning: Testing Bounds on Sample Complexity
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...
Joaquim Marques de Sá, Fernando Sereno, Lu&...
ICANN
2007
Springer
13 years 11 months ago
Incremental One-Class Learning with Bounded Computational Complexity
Rowland R. Sillito, Robert B. Fisher
JMLR
2002
135views more  JMLR 2002»
13 years 4 months ago
Covering Number Bounds of Certain Regularized Linear Function Classes
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
Tong Zhang
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
13 years 8 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
JMLR
2006
118views more  JMLR 2006»
13 years 4 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng