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» Approximate algorithms for neural-Bayesian approaches
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ISMIR
2004
Springer
138views Music» more  ISMIR 2004»
15 years 3 months ago
MusicBLAST - Gapped Sequence Alignment for MIR
We propose an algorithm, MusicBLAST, for approximate pattern search/matching on symbolic musical data. MusicBLAST is based on the BLAST algorithm, one of the most commonly used al...
Jürgen Kilian, Holger H. Hoos
82
Voted
ICDCS
2007
IEEE
15 years 2 months ago
Optimizing Multicast Performance in Large-Scale WLANs
Support for efficient multicasting in WLANs can enable new services such as streaming TV channels, radio channels, and visitor's information. With increasing deployments of l...
Ai Chen, Dongwook Lee, Prasun Sinha
NIPS
2001
14 years 11 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
ICASSP
2010
IEEE
14 years 10 months ago
Optimal delayed decoding of predictively encoded sources
Predictive coding eliminates redundancy due to correlations between the current and past signal samples, so that only the innovation, or prediction residual, needs to be encoded. ...
Vinay Melkote, Kenneth Rose
CORR
2010
Springer
174views Education» more  CORR 2010»
14 years 10 months ago
Hybrid Numerical Solution of the Chemical Master Equation
We present a numerical approximation technique for the analysis of continuous-time Markov chains that describe networks of biochemical reactions and play an important role in the ...
Thomas A. Henzinger, Maria Mateescu, Linar Mikeev,...