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NECO
2007
150views more  NECO 2007»
13 years 5 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir
CGF
2005
156views more  CGF 2005»
13 years 5 months ago
Efficient Animation of Point-Sampled Thin Shells
We present a novel framework for the efficient simulation and animation of discrete thin shells. Our method takes a point sampled surface as input and performs all necessary compu...
Martin Wicke, Denis Steinemann, Markus H. Gross
ASPLOS
2006
ACM
13 years 11 months ago
A spatial path scheduling algorithm for EDGE architectures
Growing on-chip wire delays are motivating architectural features that expose on-chip communication to the compiler. EDGE architectures are one example of communication-exposed mi...
Katherine E. Coons, Xia Chen, Doug Burger, Kathryn...
JMLR
2008
129views more  JMLR 2008»
13 years 5 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
SIGKDD
2008
125views more  SIGKDD 2008»
13 years 5 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun