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NIPS
1990
15 years 2 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
ACL
2001
15 years 3 months ago
Automated Subcategorization of Named Entities
There has been much interest in the recent past concerning the possibilities for automated categorization of named entities. The research presented here describes a method for the...
Michael Fleischman
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 5 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
ECCV
2002
Springer
16 years 3 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
SMC
2007
IEEE
118views Control Systems» more  SMC 2007»
15 years 7 months ago
One-class learning with multi-objective genetic programming
One-class classification naturally only provides one class of exemplars on which to construct the classification model. In this work, multiobjective genetic programming (GP) all...
Robert Curry, Malcolm I. Heywood