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» Stochastic complexity in learning
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CG
2006
Springer
14 years 2 days ago
Feature Construction for Reinforcement Learning in Hearts
Temporal difference (TD) learning has been used to learn strong evaluation functions in a variety of two-player games. TD-gammon illustrated how the combination of game tree search...
Nathan R. Sturtevant, Adam M. White
ECIR
2010
Springer
13 years 8 months ago
Maximum Margin Ranking Algorithms for Information Retrieval
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Shivani Agarwal, Michael Collins
ACSD
2008
IEEE
130views Hardware» more  ACSD 2008»
14 years 4 months ago
BAM: BioAmbient machine
In recent years it has become clear that techniques developed for concurrent programming are in fact very useful for the analysis of complex systems in biology. To some level of i...
Vinod A. Muganthan, Andrew Phillips, Maria Grazia ...
COMPLEX
2009
Springer
14 years 2 months ago
Non-sufficient Memories That Are Sufficient for Prediction
The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the -machine which is a hidden...
Wolfgang Löhr, Nihat Ay
ECTEL
2006
Springer
14 years 1 months ago
Community Based Software Development - the Case of Movelex
Abstract. The paper provides an overview of the elaboration, testing and improvement of Movelex, a complex virtual learning environment (VLE) supporting the establishment of self-r...
Kornél Varga, Andrea Kárpáti