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JMLR
2006
143views more  JMLR 2006»
15 years 6 months ago
Geometric Variance Reduction in Markov Chains: Application to Value Function and Gradient Estimation
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
Rémi Munos
CSB
2004
IEEE
126views Bioinformatics» more  CSB 2004»
15 years 10 months ago
Boosted PRIM with Application to Searching for Oncogenic Pathway of Lung Cancer
Boosted PRIM (Patient Rule Induction Method) is a new algorithm developed for two-class classification problems. PRIM is a variation of those Tree-Based methods ( [4] Ch9.3), seek...
Pei Wang, Young Kim, Jonathan R. Pollack, Robert T...
EOR
2008
90views more  EOR 2008»
15 years 6 months ago
Quality of service statistics over heterogeneous networks: Analysis and applications
Heterogeneous wireless/wired networks and ubiquitous environments are gaining ever more attention by research community. To properly control and manage such puzzles a deep knowled...
Alessio Botta, Antonio Pescapè, Giorgio Ven...
SC
1990
ACM
15 years 10 months ago
Tracing application program execution on the Cray X-MP and Cray 2
Important insights into program operation can be gained by observing dynamic execution behavior. Unfortunately, many high-performance machines provide execution profile summaries ...
Allen D. Malony, John L. Larson, Daniel A. Reed
NIPS
2003
15 years 8 months ago
Sparse Representation and Its Applications in Blind Source Separation
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Se...