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ECML
2006
Springer
15 years 8 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
156
Voted
SWWS
2008
15 years 6 months ago
A User Guided Iterative Alignment Approach for Ontology Mapping
- The future of the Semantic Web envisions an interconnected network of data and systems where software agents can communicate seamlessly to perform complicated tasks with limited ...
Danny Chen, John Lastusky, James Starz, Stephen Ho...
VLSISP
2002
103views more  VLSISP 2002»
15 years 4 months ago
A New Class of Efficient Block-Iterative Interference Cancellation Techniques for Digital Communication Receivers
A new and efficient class of nonlinear receivers is introduced for digital communication systems. These "iterated-decision" receivers use optimized multipass algorithms t...
Albert M. Chan, Gregory W. Wornell
ICCAD
2009
IEEE
109views Hardware» more  ICCAD 2009»
15 years 2 months ago
CRISP: Congestion reduction by iterated spreading during placement
Dramatic progress has been made in algorithms for placement and routing over the last 5 years, with improvements in both speed and quality. Combining placement and routing into a ...
Jarrod A. Roy, Natarajan Viswanathan, Gi-Joon Nam,...
DAC
2000
ACM
16 years 6 months ago
Unifying behavioral synthesis and physical design
eously demand shorter and less costly design cycles. Designing at higher levels of abstraction makes both objectives achievable, but enabling techniques like behavioral synthesis h...
William E. Dougherty, Donald E. Thomas