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» Causal inference using the algorithmic Markov condition
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PPDP
2010
Springer
14 years 8 months ago
Type inference in intuitionistic linear logic
We study the type checking and type inference problems for intuitionistic linear logic: given a System F typed λ-term, (i) for an alleged linear logic type, determine whether the...
Patrick Baillot, Martin Hofmann
IPMI
2005
Springer
15 years 10 months ago
From Spatial Regularization to Anatomical Priors in fMRI Analysis
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Wanmei Ou, Polina Golland
ICLP
2010
Springer
15 years 1 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian
PAMI
2012
13 years 9 days ago
Probabilistic Models for Inference about Identity
—Many face recognition algorithms use “distance-based” methods: Feature vectors are extracted from each face and distances in feature space are compared to determine matches....
Simon Prince, Peng Li, Yun Fu, Umar Mohammed, Jame...
BMCBI
2006
202views more  BMCBI 2006»
14 years 10 months ago
Integrated biclustering of heterogeneous genome-wide datasets for the inference of global regulatory networks
Background: The learning of global genetic regulatory networks from expression data is a severely under-constrained problem that is aided by reducing the dimensionality of the sea...
David J. Reiss, Nitin S. Baliga, Richard Bonneau