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» The Inference Problem: A Survey
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90
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SIGACT
2010
74views more  SIGACT 2010»
14 years 11 months ago
Typically-correct derandomization
A fundamental question in complexity theory is whether every randomized polynomial time algorithm can be simulated by a deterministic polynomial time algorithm (that is, whether B...
Ronen Shaltiel
127
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HICSS
2012
IEEE
268views Biometrics» more  HICSS 2012»
13 years 8 months ago
Goals and Tasks: Two Typologies of Citizen Science Projects
—Citizen science is a form of research collaboration involving members of the public in scientific research projects to address real-world problems. Often organized as a virtual...
Andrea Wiggins, Kevin Crowston
104
Voted
CVPR
2010
IEEE
15 years 8 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ICML
2005
IEEE
16 years 1 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
77
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CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
15 years 6 months ago
Islands of Tractability for Parsimony Haplotyping
We study the parsimony approach to haplotype inference, which calls for finding a set of haplotypes of minimum cardinality that explains an input set of genotypes. We prove that ...
Roded Sharan, Bjarni V. Halldórsson, Sorin ...