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TNN
1998
100views more  TNN 1998»
15 years 6 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
IJAR
2010
152views more  IJAR 2010»
15 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
PCM
2010
Springer
179views Multimedia» more  PCM 2010»
15 years 5 months ago
3D Similarity Search Using a Weighted Structural Histogram Representation
A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D sh...
Tong Lu, Rongjun Gao, Tuantuan Wang, Yubin Yang
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
16 years 7 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
RTA
2004
Springer
15 years 12 months ago
mu-term: A Tool for Proving Termination of Context-Sensitive Rewriting
Restrictions of rewriting can eventually achieve termination by pruning all infinite rewrite sequences issued from every term. Contextsensitive rewriting (CSR) is an example of su...
Salvador Lucas