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FOCI
2007
IEEE
15 years 10 months ago
Evolutionary Algorithms in the Presence of Noise: To Sample or Not to Sample
Abstract-- In this paper, we empirically analyze the convergence behavior of evolutionary algorithms (evolution strategies
Hans-Georg Beyer, Bernhard Sendhoff
DAC
2004
ACM
15 years 10 months ago
Implicit pseudo boolean enumeration algorithms for input vector control
In a CMOS combinational logic circuit, the subthreshold leakage current in the standby state depends on the state of the inputs. In this paper we present a new approach to identif...
Kaviraj Chopra, Sarma B. K. Vrudhula
CSL
2006
Springer
15 years 10 months ago
Algorithms for Omega-Regular Games with Imperfect Information,
We study observation-based strategies for two-player turn-based games on graphs with omega-regular objectives. An observation-based strategy relies on imperfect information about t...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
ML
2002
ACM
143views Machine Learning» more  ML 2002»
15 years 6 months ago
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes
An issue that is critical for the application of Markov decision processes MDPs to realistic problems is how the complexity of planning scales with the size of the MDP. In stochas...
Michael J. Kearns, Yishay Mansour, Andrew Y. Ng
ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur