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TNN
1998
112views more  TNN 1998»
13 years 7 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
CEC
2007
IEEE
14 years 1 months ago
Multi-population competitive co-evolution of car racing controllers
Abstract— Multi-population competitive co-evolution is explored as a way of developing controllers for a simple (but definitely not trivial) car racing game. The three main uses...
Julian Togelius, Peter Burrow, Simon M. Lucas
EMNLP
2006
13 years 8 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova
TSP
2010
13 years 2 months ago
Dynamic spectrum management with the competitive market model
[1, 2] have shown for the dynamic spectrum allocation problem that a competitive market model (which sets a price for transmission power on each channel) leads to a greater social...
Yao Xie, Benjamin Armbruster, Yinyu Ye
EH
2004
IEEE
125views Hardware» more  EH 2004»
13 years 11 months ago
Routine High-Return Human-Competitive Evolvable Hardware
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter