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» Causal inference using the algorithmic Markov condition
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AIHC
2007
Springer
14 years 4 months ago
Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition
Affective and human-centered computing have attracted a lot of attention during the past years, mainly due to the abundance of devices and environments able to exploit multimodal i...
Kostas Karpouzis, George Caridakis, Loïc Kess...
KDD
2007
ACM
156views Data Mining» more  KDD 2007»
14 years 10 months ago
Estimating rates of rare events at multiple resolutions
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrab...
BMCBI
2006
127views more  BMCBI 2006»
13 years 10 months ago
Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks
Background: To infer the tree of life requires knowledge of the common characteristics of each species descended from a common ancestor as the measuring criteria and a method to c...
Sok June Oh, Je-Gun Joung, Jeong Ho Chang, Byoung-...
POPL
2012
ACM
12 years 6 months ago
Playing in the grey area of proofs
Interpolation is an important technique in verification and static analysis of programs. In particular, interpolants extracted from proofs of various properties are used in invar...
Krystof Hoder, Laura Kovács, Andrei Voronko...
IJCAI
2003
13 years 11 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer