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JCP
2007
121views more  JCP 2007»
15 years 6 months ago
Learning by Discrimination: A Constructive Incremental Approach
Abstract— This paper presents i-AA1 , a constructive, incremental learning algorithm for a special class of weightless, self-organizing networks. In i-AA1 , learning consists of ...
Christophe G. Giraud-Carrier, Tony R. Martinez
TSP
2008
94views more  TSP 2008»
15 years 6 months ago
Optimal Particle Filters for Tracking a Time-Varying Harmonic or Chirp Signal
We consider the problem of tracking the time-varying (TV) parameters of a harmonic or chirp signal using particle filtering (PF) tools. Similar to previous PF approaches to TV spec...
E. E. Tsakonas, Nicholas D. Sidiropoulos, Ananthra...
ARTMED
2002
121views more  ARTMED 2002»
15 years 6 months ago
An evolutionary artificial neural networks approach for breast cancer diagnosis
This paper presents an evolutionary artificial neural network approach based on the pareto differential evolution algorithm augmented with local search for the prediction of breas...
Hussein A. Abbass
COLING
2002
15 years 6 months ago
The Chinese Aspect System and its Semantic Interpretation
: Motivated by a systematic representation of the Chinese aspect forms that explores their intrinsic semantics and temporal logical relations, we are constructing a Chinese aspect ...
Guowen Yang, John A. Bateman
TNN
1998
112views more  TNN 1998»
15 years 6 months ago
A class of competitive learning models which avoids neuron underutilization problem
— In this paper, we study a qualitative property of a class of competitive learning (CL) models, which is called the multiplicatively biased competitive learning (MBCL) model, na...
Clifford Sze-Tsan Choy, Wan-Chi Siu