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127
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MOR
2007
140views more  MOR 2007»
15 years 3 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson
112
Voted
IJCAI
1997
15 years 5 months ago
Law Discovery using Neural Networks
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Kazumi Saito, Ryohei Nakano
107
Voted
FM
2009
Springer
92views Formal Methods» more  FM 2009»
15 years 10 months ago
Field-Sensitive Value Analysis by Field-Insensitive Analysis
Shared and mutable data-structures pose major problems in static analysis and most analyzers are unable to keep track of the values of numeric variables stored in the heap. In this...
Elvira Albert, Puri Arenas, Samir Genaim, Germ&aac...
107
Voted
ICPR
2004
IEEE
16 years 4 months ago
Large Scene Reconstruction with Local Details Recovery
We propose a method to recover the global structure with local details around a point. To handle a large scale of motion i.e. 360 degree around the point, we use an optimization-b...
Siu-Hang Or, Kin-hong Wong, Michael Ming-Yuen Chan...
139
Voted
ICCV
1998
IEEE
16 years 5 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender