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APIN
2002
90views more  APIN 2002»
13 years 9 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
APIN
2000
143views more  APIN 2000»
13 years 9 months ago
Conceptual Models and Architectures for Advanced Information Systems
Abstract. This paper addresses several issues related to the use of conceptual modeling to support serviceoriented, advanced information systems. It shows how conceptual modeling o...
Larry Kerschberg, Doyle Weishar
APIN
1998
139views more  APIN 1998»
13 years 9 months ago
Evolutionary Learning of Modular Neural Networks with Genetic Programming
Evolutionary design of neural networks has shown a great potential as a powerful optimization tool. However, most evolutionary neural networks have not taken advantage of the fact ...
Sung-Bae Cho, Katsunori Shimohara
APIN
1999
114views more  APIN 1999»
13 years 9 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
APIN
1999
107views more  APIN 1999»
13 years 9 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki