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» Approximate Structural Consistency
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133
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 1 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
142
Voted
ISVC
2005
Springer
15 years 9 months ago
Structural and Textural Skeletons for Noisy Shapes
The extraction of consistent skeletons in the presence of boundary noise is still a problem for most skeletonization algorithms. Many suppress skeletons associated with boundary pe...
Wooi-Boon Goh, Kai-Yun Chan
130
Voted
ICCAD
1999
IEEE
120views Hardware» more  ICCAD 1999»
15 years 8 months ago
Regularity extraction via clan-based structural circuit decomposition
Identifying repeating structural regularities in circuits allows the minimization of synthesis, optimization, and layout e orts. We introduce in this paper a novel method for ident...
Soha Hassoun, Carolyn McCreary
130
Voted
ICML
2009
IEEE
16 years 4 months ago
Structure learning with independent non-identically distributed data
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
Robert E. Tillman
143
Voted
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 9 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui