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» Learning probabilistic decision graphs
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CVPR
2000
IEEE
13 years 10 months ago
Learning Patterns from Images by Combining Soft Decisions and Hard Decisions
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
Pengyu Hong, Thomas S. Huang, Roy Wang
ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
13 years 3 months ago
Learning Markov Network Structure with Decision Trees
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
Daniel Lowd, Jesse Davis
ICPR
2004
IEEE
14 years 6 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
PKDD
2009
Springer
136views Data Mining» more  PKDD 2009»
14 years 20 hour ago
Integrating Logical Reasoning and Probabilistic Chain Graphs
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter...
CAV
1999
Springer
104views Hardware» more  CAV 1999»
13 years 9 months ago
On the Representation of Probabilities over Structured Domains
Abstract. In this paper we extend one of the main tools used in veri cation of discrete systems, namely Binary Decision Diagrams (BDD), to treat probabilistic transition systems. W...
Marius Bozga, Oded Maler