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» Introduction to Causal Inference
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JMLR
2010
93views more  JMLR 2010»
14 years 4 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
CIG
2006
IEEE
15 years 3 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
IAT
2007
IEEE
15 years 4 months ago
Revisiting ADOPT-ing and its Feedback Schemes
Here we revisit ADOPT-ing and bring two new contributions. One contribution consists of developing variations on the algorithms keeping the improvement in length of chain of causa...
Marius-Calin Silaghi, Makoto Yokoo
KESAMSTA
2007
Springer
15 years 3 months ago
Ontology Agent Based Rule Base Fuzzy Cognitive Maps
This work proposes a framework for the design and development of Ontology Agents oriented to manage Rule Base Fuzzy Cognitive Maps (RBFCM). The approach takes into account the foun...
Alejandro Peña Ayala, Humberto Sossa, Franc...
INFFUS
2010
143views more  INFFUS 2010»
14 years 8 months ago
A multi-agent systems approach to distributed bayesian information fusion
This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...