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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
JSW
2007
112views more  JSW 2007»
15 years 6 months ago
A Framework for Design Engineering Education with Workflow-based e-Learning System
—Education of design engineering has started to change in response to the advancement of computer technology. This paper proposes a new design engineering educational framework u...
Kazuo Hiekata, Hiroyuki Yamato, Piroon Rojanakamol...
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
ML
2007
ACM
15 years 6 months ago
Feature space perspectives for learning the kernel
In this paper, we continue our study of learning an optimal kernel in a prescribed convex set of kernels, [18]. We present a reformulation of this problem within a feature space e...
Charles A. Micchelli, Massimiliano Pontil
PRL
2007
200views more  PRL 2007»
15 years 6 months ago
Generative learning of visual concepts using multiobjective genetic programming
This paper introduces a novel method of visual learning based on Genetic Programming, which evolves a population of individuals (image analysis programs) that process attributed v...
Krzysztof Krawiec