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CEC
2009
IEEE
15 years 11 months ago
Structure learning and optimisation in a Markov-network based estimation of distribution algorithm
—Structure learning is a crucial component of a multivariate Estimation of Distribution algorithm. It is the part which determines the interactions between variables in the proba...
Alexander E. I. Brownlee, John A. W. McCall, Siddh...
174
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ICPR
2008
IEEE
15 years 11 months ago
Radical based fine trajectory HMMs of online handwritten characters
We study models that characterize pen trajectories of online handwritten characters in a fine manner. We propose radical based fine trajectory hidden Markov models (HMMs), which...
Peng Liu, Lei Ma, Frank K. Soong
DASFAA
2007
IEEE
139views Database» more  DASFAA 2007»
15 years 11 months ago
Self-tuning in Graph-Based Reference Disambiguation
Nowadays many data mining/analysis applications use the graph analysis techniques for decision making. Many of these techniques are based on the importance of relationships among t...
Rabia Nuray-Turan, Dmitri V. Kalashnikov, Sharad M...
ADBIS
2007
Springer
137views Database» more  ADBIS 2007»
15 years 11 months ago
An Object-Oriented Based Algebra for Ontologies and Their Instances
Nowadays, ontologies are used in a lot of diverse research fields. They provide with the capability to describe a huge set of information contents. Therefore, several approaches f...
Stéphane Jean, Yamine Aït Ameur, Guy P...
AAAI
2007
15 years 7 months ago
Graph Partitioning Based on Link Distributions
Existing graph partitioning approaches are mainly based on optimizing edge cuts and do not take the distribution of edge weights (link distribution) into consideration. In this pa...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu