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UAI
2000
15 years 8 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
WSC
2000
15 years 8 months ago
Distributed supply chain simulation in GRIDS
Amongst the majority of work done in Supply Chain Simulation, papers have emerged that examine the area of model distribution. The executions of simulations on distributed hosts a...
Rajeev Sudra, Simon J. E. Taylor, Tharumasegaram J...
NIPS
1994
15 years 8 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
CIDR
2009
102views Algorithms» more  CIDR 2009»
15 years 8 months ago
Why Did My Query Slow Down
Enterprise environments have isolated teams responsible separately for database management and the management of underlying networkattached server-storage infrastructure (referred...
Nedyalko Borisov, Sandeep Uttamchandani, Ramani Ro...
GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
15 years 8 months ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella