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119
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CHARME
2005
Springer
136views Hardware» more  CHARME 2005»
15 years 8 months ago
Predictive Reachability Using a Sample-Based Approach
Abstract. Unbounded model checking of invariant properties is typically solved using symbolic reachability. However, BDD based reachability methods suffer from lack of robustness ...
Debashis Sahoo, Jawahar Jain, Subramanian K. Iyer,...
137
Voted
EMNLP
2010
15 years 18 days ago
Minimum Error Rate Training by Sampling the Translation Lattice
Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Samidh Chatterjee, Nicola Cancedda
229
Voted
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 18 days ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
118
Voted
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
15 years 6 months ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill
ICRA
2006
IEEE
148views Robotics» more  ICRA 2006»
15 years 8 months ago
Surface Patch Reconstruction via Curve Sampling
This paper introduces a method that reconstructs a surface patch by sampling along three concurrent curves on the surface with a touch sensor. These data curves, each lying in a d...
Yan-Bin Jia, Liangchuan Mi, Jiang Tian