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» Approximate Structural Consistency
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 4 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
ISVC
2005
Springer
15 years 12 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
ICCAD
1999
IEEE
120views Hardware» more  ICCAD 1999»
15 years 10 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
ICML
2009
IEEE
16 years 7 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
GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 11 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