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WSC
2004
14 years 11 months ago
Controlling Over-Optimism in Time-Warp Via CPU-Based Flow Control
In standard optimistic parallel event simulation, no restriction exists on the maximum lag in simulation time between the fastest and slowest logical processes (LPs). Overoptimist...
Vinay Sachdev, Maria Hybinette, Eileen Kraemer
NIPS
2004
14 years 11 months ago
Using the Equivalent Kernel to Understand Gaussian Process Regression
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show (1) how to appro...
Peter Sollich, Christopher K. I. Williams
ICML
2003
IEEE
15 years 10 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
ICA
2007
Springer
15 years 1 months ago
Underdetermined Source Separation Using Mixtures of Warped Laplacians
In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sens...
Nikolaos Mitianoudis, Tania Stathaki
AMAI
2004
Springer
15 years 3 months ago
Warped Landscapes and Random Acts of SAT Solving
Recent dynamic local search (DLS) algorithms such as SAPS are amongst the state-of-the-art methods for solving the propositional satisfiability problem (SAT). DLS algorithms modi...
Dave A. D. Tompkins, Holger H. Hoos