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A ``Microscopic'' Study of Minimum Entropy Search in Learning Decomposable Markov Networks
A ``Microscopic'' Study of Minimum Entropy Search in Learning Decomposable Markov Networks,Machine Learning,Yang Xiang,S. K. Michael Wong,Nick Cercone
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A ``Microscopic'' Study of Minimum Entropy Search in Learning Decomposable Markov Networks
(
Citations: 40
)
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Yang Xiang
,
S. K. Michael Wong
,
Nick Cercone
Journal:
Machine Learning  ML
, vol. 26, no. 1, pp. 6592, 1997
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(
www.cis.uoguelph.ca
)
(
www.informatik.unitrier.de
)
Citation Context
(22)
...At present, scoringsearch method [
8
, 9] is adopted in...
Shuangcheng Wang
,
et al.
Conditional Markov Network Hybrid Classifiers Using on Client Credit S...
...Graphical models such as Bayesian networks (BNs) (Pearl 1988), decomposable Markov networks (DMNs) (
Xiang, Wong, & Cercone 1997
), and chain graphs (Lauritzen 1996) have been applied successfully to probabilisticreasoning in intelligent systems...
...Given the usefulness of graphicalmodels, one way to construct them is by discovery from data, as demonstrated by pioneer work such as (Chow & Liu 1968; Rebane & Pearl 1987; Herskovits & Cooper 1990; Fung & Crawford 1990; Spirtes & Glymour 1991; Cooper & Herskovits 1992; Lam & Bacchus 1994; Heckerman, Geiger, & Chickering 1995;
Xiang, Wong, & Cercone 1997
)...
...For the singlelinklookahead heuristic,we consider an algorithmthat scores a graphicalstructure usingthe KL cross entropy and starts with G0. It can be shown (
Xiang, Wong, & Cercone 1997
) that the score KLS(G0) is...
Yang Xiang
.
A Decision Theoretic View on Choosing Heuristics for Discovery of Grap...
...Learning belief networks in possibly PI domains requires multilink lookahead search (
Xiang, Wong, and Cercone, 1997
)...
...To discover the correct dependence structure in potentially PI domains, multilink lookahead search is necessary (
Xiang, Wong, and Cercone, 1997
)...
...The following proposition, reformatted from
Xiang, Wong, and Cercone (1997)
, establishes a relation between the computable H (V ) and not directly computable � 2(� M)...
...Proposition 15 (
Xiang, Wong & Cercone, 1997
)...
...The class of PI domains was identified by
Xiang, Wong, and Cercone (1997)
and their practical relevance was demonstrated in Xiang et al. (2000)...
...Alternatively, in this paper and the related work (
Xiang, Wong, and Cercone, 1997
), junction forest models have been used...
Y. Xiang
,
et al.
Learning decomposable markov networks in pseudoindependent domains wi...
...We just mention (
Xiang et al., 1997
) as a starting point...
...This method has limitations in constructing the correct network for some artificial cases, as is shown in (
Xiang et al., 1997
)...
Heinz Mühlenbein
,
et al.
The Estimation of Distributions and the Minimum Relative Entropy Princ...
...To learn PI models, a more sophisticated search method called multilink lookahead (
Xiang, Wong, & Cercone 1997
) should be used...
...A pseudoindependent (PI) model is a PDM where proper subsets of a set of collectively dependent variables display marginal independence (
Xiang, Wong, and Cercone 1997
)...
Jaehyuck Lee
,
et al.
Model Complexity of Pseudoindependent Models
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Citations
(40)
Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k
K. Nunez
,
Jianhua Chen
,
Peter P. Chen
,
Guoli Ding
,
Robert F. Lax
,
Brian D. Marx
Conference:
International Conference on Machine Learning and Applications  ICMLA
, pp. 106111, 2008
Conditional Markov Network Hybrid Classifiers Using on Client Credit Scoring
Shuangcheng Wang
,
Cuiping Leng
,
Piqiang Zhang
Conference:
International Symposium on Computer Science and Computational Technology  ISCSCT
, pp. 549553, 2008
A Decision Theoretic View on Choosing Heuristics for Discovery of Graphical Models
(
Citations: 1
)
Yang Xiang
Conference:
The Florida AI Research Society Conference  FLAIRS
, 2007
Complexity measurement of fundamental pseudoindependent models
J. Lee
,
Y. Xiang
Journal:
International Journal of Approximate Reasoning  IJAR
, vol. 46, no. 2, pp. 346365, 2007
Learning decomposable markov networks in pseudoindependent domains with local evaluation
(
Citations: 2
)
Y. Xiang
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J. Lee
Journal:
Machine Learning  ML
, vol. 65, no. 1, pp. 199227, 2006