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117
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ISCI
2008
74views more  ISCI 2008»
15 years 16 days ago
Strong limit theorems for random sets and fuzzy random sets with slowly varying weights
Theories of random sets and fuzzy random sets are useful concepts which are frequently applied in scientific areas including information science, probability and statistics. In th...
Ke-ang Fu, Li-xin Zhang
89
Voted
AUTOMATICA
2002
80views more  AUTOMATICA 2002»
15 years 12 days ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel
142
Voted
DATAMINE
1999
143views more  DATAMINE 1999»
15 years 6 days ago
Partitioning Nominal Attributes in Decision Trees
To find the optimal branching of a nominal attribute at a node in an L-ary decision tree, one is often forced to search over all possible L-ary partitions for the one that yields t...
Don Coppersmith, Se June Hong, Jonathan R. M. Hosk...
110
Voted
CVPR
2004
IEEE
16 years 2 months ago
A Probabilistic Framework for Combining Tracking Algorithms
For the past few years researches have been investigating enhancing tracking performance by combining several different tracking algorithms. We propose an analytically justified, ...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
88
Voted
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
16 years 26 days ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala