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» Complexities for generalized models of self-assembly
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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
195
Voted
BMCBI
2007
179views more  BMCBI 2007»
15 years 4 months ago
Automated smoother for the numerical decoupling of dynamics models
Background: Structure identification of dynamic models for complex biological systems is the cornerstone of their reverse engineering. Biochemical Systems Theory (BST) offers a pa...
Marco Vilela, Carlos Cristiano H. Borges, Susana V...
SIGCOMM
2009
ACM
15 years 11 months ago
Modeling and understanding end-to-end class of service policies in operational networks
Business and economic considerations are driving the extensive use of service differentiation in Virtual Private Networks (VPNs) operated for business enterprises today. The resul...
Yu-Wei Eric Sung, Carsten Lund, Mark Lyn, Sanjay G...
147
Voted
KI
2008
Springer
15 years 4 months ago
Shallow Models for Non-iterative Modal Logics
Abstract. Modal logics see a wide variety of applications in artificial intelligence, e.g. in reasoning about knowledge, belief, uncertainty, agency, defaults, and relevance. From ...
Lutz Schröder, Dirk Pattinson
183
Voted
CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 8 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato