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WSC
2004
15 years 1 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
GECCO
2009
Springer
150views Optimization» more  GECCO 2009»
14 years 9 months ago
Parallel shared memory strategies for ant-based optimization algorithms
This paper describes a general scheme to convert sequential ant-based algorithms into parallel shared memory algorithms. The scheme is applied to an ant-based algorithm for the ma...
Thang Nguyen Bui, ThanhVu H. Nguyen, Joseph R. Riz...
SIAMCOMP
2011
14 years 2 months ago
Inapproximability Results for Maximum Edge Biclique, Minimum Linear Arrangement, and Sparsest Cut
We consider the Minimum Linear Arrangement problem and the (Uniform) Sparsest Cut problem. So far, these two notorious NP-hard graph problems have resisted all attempts to prove in...
Christoph Ambühl, Monaldo Mastrolilli, Ola Sv...
FSKD
2011
Springer
313views Fuzzy Logic» more  FSKD 2011»
13 years 11 months ago
Robust initialization for reasoning procedures in a hierarchical heterogeneous knowledge-base
—This paper describes a model of a hierarchical, heterogeneous knowledge-base. The proposed model consists of an associative level that is implemented by a Kanerva-like sparse di...
Slobodan Ribaric, Darijan Marcetic, Zongmin Ma
ML
2012
ACM
385views Machine Learning» more  ML 2012»
13 years 7 months ago
An alternative view of variational Bayes and asymptotic approximations of free energy
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Kazuho Watanabe