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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
COGSCI
2008
90views more  COGSCI 2008»
13 years 7 months ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...
WWW
2005
ACM
14 years 8 months ago
A service creation environment based on end to end composition of Web services
The demand for quickly delivering new applications is increasingly becoming a business imperative today. Application development is often done in an ad hoc manner, without standar...
Vikas Agarwal, Koustuv Dasgupta, Neeran M. Karnik,...
CASES
2004
ACM
14 years 28 days ago
Balancing design options with Sherpa
Application specific processors offer the potential of rapidly designed logic specifically constructed to meet the performance and area demands of the task at hand. Recently, t...
Timothy Sherwood, Mark Oskin, Brad Calder
UIST
2004
ACM
14 years 28 days ago
Hierarchical parsing and recognition of hand-sketched diagrams
A long standing challenge in pen-based computer interaction is the ability to make sense of informal sketches. A main difficulty lies in reliably extracting and recognizing the i...
Levent Burak Kara, Thomas F. Stahovich