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» Newton's method and its use in optimization
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ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 7 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ICML
2007
IEEE
14 years 8 months ago
On one method of non-diagonal regularization in sparse Bayesian learning
In the paper we propose a new type of regularization procedure for training sparse Bayesian methods for classification. Transforming Hessian matrix of log-likelihood function to d...
Dmitry Kropotov, Dmitry Vetrov
ICRA
1999
IEEE
130views Robotics» more  ICRA 1999»
13 years 12 months ago
EquiDistance Diagram: A New Roadmap Method for Path Planning
This paper introduces a novel heuristic nmdmap method for path planning, one that is inspired by the Vomnoi diagmm concept, but easiZy applicable to geneml configurntion spaces. T...
S. Sathiya Keerthi, Chong Jin Ong, Eugene Huang, E...
ICCAD
2000
IEEE
171views Hardware» more  ICCAD 2000»
14 years 1 days ago
A Parametric Test Method for Analog Components in Integrated Mixed-Signal Circuits
In this paper, we present a novel approach to use test stimuli generated by digital components of a mixed-signal circuit for testing its analog components. A wavelet transform is ...
Michael Pronath, Volker Gloeckel, Helmut E. Graeb
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
14 years 2 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...