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IJAR
2010
91views more  IJAR 2010»
13 years 10 months ago
Logical and algorithmic properties of stable conditional independence
The logical and algorithmic properties of stable conditional independence (CI) as an alternative structural representation of conditional independence information are investigated...
Mathias Niepert, Dirk Van Gucht, Marc Gyssens
AI
2002
Springer
13 years 11 months ago
Conditional independence in propositional logic
Independence--the study of what is relevant to a given problem of reasoning--is an important AI topic. In this paper, we investigate several notions of conditional independence in...
Jérôme Lang, Paolo Liberatore, Pierre...
AI
2002
Springer
13 years 11 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
JMLR
2008
144views more  JMLR 2008»
13 years 11 months ago
Search for Additive Nonlinear Time Series Causal Models
Pointwise consistent, feasible procedures for estimating contemporaneous linear causal structure from time series data have been developed using multiple conditional independence ...
Tianjiao Chu, Clark Glymour
ECAI
2010
Springer
14 years 19 days ago
Probabilistic Logic with Conditional Independence Formulae
We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
Magdalena Ivanovska, Martin Giese
NIPS
2003
14 years 27 days ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
UAI
2001
14 years 27 days ago
A Bayesian Multiresolution Independence Test for Continuous Variables
In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
Dimitris Margaritis, Sebastian Thrun
DAC
1995
ACM
14 years 3 months ago
Efficient Power Estimation for Highly Correlated Input Streams
- Power estimation in combinational modules is addressed from a probabilistic point of view. The zero-delay hypothesis is considered and under highly correlated input streams, the ...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ISIPTA
1999
IEEE
134views Mathematics» more  ISIPTA 1999»
14 years 3 months ago
Conditional Independence Relations in Possibility Theory
The aim of this paper is to survey and brie y discuss various rules of conditioning proposed in the framework of possibility theory as well as various conditional independence rel...
Jirina Vejnarová
ISIPTA
2005
IEEE
130views Mathematics» more  ISIPTA 2005»
14 years 5 months ago
No Double Counting Semantics for Conditional Independence
The main goal of this paper is to describe a new semantic for conditional independence in terms of no double counting of uncertain evidence. For ease of exposition, we use probabi...
Prakash P. Shenoy