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JMLR
2010
93views more  JMLR 2010»
13 years 3 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
CISS
2008
IEEE
13 years 10 months ago
Network tomography based on additive metrics
Inference of the network structure (e.g., routing topology) and dynamics (e.g., traffic matrices, link performance) is an important component in many network design and management ...
Jian Ni, Sekhar Tatikonda
ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
13 years 6 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
JAIR
2008
136views more  JAIR 2008»
13 years 8 months ago
Global Inference for Sentence Compression: An Integer Linear Programming Approach
Sentence compression holds promise for many applications ranging from summarization to subtitle generation. Our work views sentence compression as an optimization problem and uses...
James Clarke, Mirella Lapata
CIG
2006
IEEE
14 years 2 months ago
Capturing The Information Conveyed By Opponents' Betting Behavior in Poker
— This paper develops an approach to the capture and measurement of the information contained in opponents’ bet actions in seven card stud poker. We develop a causal model link...
Eric Saund