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89
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IPPS
1998
IEEE
15 years 4 months ago
Capturing the Connectivity of High-Dimensional Geometric Spaces by Parallelizable Random Sampling Techniques
Abstract. Finding paths in high-dimensional gemetric spaces is a provably hard problem. Recently, a general randomized planning scheme has emerged as an e ective approach to solve ...
David Hsu, Lydia E. Kavraki, Jean-Claude Latombe, ...
WSC
2007
15 years 2 months ago
Path-sampling for state-dependent importance sampling
State-dependent importance sampling (SDIS) has proved to be particularly useful in simulation (specially in rare event analysis of stochastic systems). One approach for designing ...
Jose H. Blanchet, Jingchen Liu
116
Voted
PAKDD
2010
ACM
208views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Efficient Pattern Mining of Uncertain Data with Sampling
Mining frequent itemsets from transactional datasets is a well known problem with good algorithmic solutions. In the case of uncertain data, however, several new techniques have be...
Toon Calders, Calin Garboni, Bart Goethals
WSC
1997
15 years 1 months ago
Optimal Quadratic-Form Estimator of the Variance of the Sample Mean
A classical problem of stochastic simulation is how to estimate the variance of the sample mean of dependent but stationary outputs. Many variance estimators, such as the batch me...
Wheyming Tina Song, Neng-Hui Shih, Mingjian Yuan
106
Voted
SIGIR
2006
ACM
15 years 6 months ago
LDA-based document models for ad-hoc retrieval
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...
Xing Wei, W. Bruce Croft