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CDC
2010
IEEE
154views Control Systems» more  CDC 2010»
13 years 14 days ago
Distributed constrained optimization over noisy networks
In this paper we deal with two problems which are of great interest in the field of distributed decision making and control. The first problem we tackle is the problem of achieving...
Kunal Srivastava, Angelia Nedic, Dusan M. Stipanov...
JMLR
2006
103views more  JMLR 2006»
13 years 5 months ago
MinReg: A Scalable Algorithm for Learning Parsimonious Regulatory Networks in Yeast and Mammals
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...
Dana Pe'er, Amos Tanay, Aviv Regev
IPMI
2007
Springer
14 years 6 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
13 years 11 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ICAI
2010
13 years 3 months ago
Exact Loopy Belief Propagation on Euler Graphs
Belief propagation is widely used in inference of graphical models. It yields exact solutions when the underlying graph is singly connected. When the graph contains loops, double-c...
Chen-Hsiang Yeang