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» The Inference Problem: A Survey
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SIGACT
2010
74views more  SIGACT 2010»
15 years 3 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
HICSS
2012
IEEE
268views Biometrics» more  HICSS 2012»
14 years 8 days 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
CVPR
2010
IEEE
16 years 6 days 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 5 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
CSB
2005
IEEE
125views Bioinformatics» more  CSB 2005»
15 years 10 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 ...