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142
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ICDM
2010
IEEE
127views Data Mining» more  ICDM 2010»
15 years 2 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
CRV
2008
IEEE
165views Robotics» more  CRV 2008»
15 years 11 months ago
Hierarchical Stereo with Thin Structures and Transparency
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Mikhail Sizintsev
119
Voted
SIAMJO
2010
137views more  SIAMJO 2010»
15 years 3 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
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
ECAL
2007
Springer
15 years 10 months ago
Folding Protein-Like Structures with Open L-Systems
Abstract. Proteins, under native conditions, fold to specific 3D structures according to their 1D amino acid sequence, which in turn is defined by the genetic code. The specific...
Gemma B. Danks, Susan Stepney, Leo S. D. Caves