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AAAI
2010
15 years 1 months ago
Representation Discovery in Sequential Decision Making
Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for...
Sridhar Mahadevan
NIPS
2004
15 years 1 months ago
Semi-supervised Learning by Entropy Minimization
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Yves Grandvalet, Yoshua Bengio
ALC
1997
15 years 1 months ago
Synthesising interconnections
In the context of the modular and incremental development of complex systems, viewed as interconnections of interacting components, new dimensions and new problems arise in the ca...
José Luiz Fiadeiro, Antónia Lopes, T...
ICEC
1994
82views more  ICEC 1994»
15 years 1 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...
NIPS
1993
15 years 1 months ago
The Parti-Game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-Spaces
Parti-game is a new algorithm for learning feasible trajectories to goal regions in high dimensionalcontinuousstate-spaces. In high dimensions it is essential that learningdoes not...
Andrew W. Moore