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AAAI
2008
15 years 8 days ago
Lifted First-Order Belief Propagation
Unifying first-order logic and probability is a long-standing goal of AI, and in recent years many representations combining aspects of the two have been proposed. However, infere...
Parag Singla, Pedro Domingos
MICCAI
2006
Springer
15 years 11 months ago
Probabilistic Brain Atlas Encoding Using Bayesian Inference
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Koen Van Leemput
ICML
2005
IEEE
15 years 10 months ago
Fast inference and learning in large-state-space HMMs
For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
Sajid M. Siddiqi, Andrew W. Moore
CADE
2006
Springer
15 years 10 months ago
Inferring Network Invariants Automatically
Abstract. Verification by network invariants is a heuristic to solve uniform verification of parameterized systems. Given a system P, a network invariant for P is that abstracts th...
Olga Grinchtein, Martin Leucker, Nir Piterman
BIBE
2007
IEEE
142views Bioinformatics» more  BIBE 2007»
15 years 4 months ago
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations
—Interactions between transcription factors (TFs) are necessary for deciphering the complex mechanisms of transcription regulation in eukaryotes. In this paper, we proposed a nov...
Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, Se...