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» Kernel Measures of Conditional Dependence
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BMCBI
2010
147views more  BMCBI 2010»
13 years 9 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
EMNLP
2007
13 years 10 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
BMCBI
2008
138views more  BMCBI 2008»
13 years 9 months ago
Information transfer in signaling pathways: A study using coupled simulated and experimental data
Background: The topology of signaling cascades has been studied in quite some detail. However, how information is processed exactly is still relatively unknown. Since quite divers...
Jürgen Pahle, Anne K. Green, C. Jane Dixon, U...
CDC
2008
IEEE
126views Control Systems» more  CDC 2008»
14 years 3 months ago
Rendezvous under noisy measurements
— We describe a distributed algorithm for solving the rendezvous problem based on consensus protocols. We extend our previous work by considering the case when the evolution of t...
Carlos H. Caicedo-Nunez, Milos Zefran
MOR
2006
60views more  MOR 2006»
13 years 9 months ago
Measure-Valued Differentiation for Stationary Markov Chains
: We study general state-space Markov chains that depend on a parameter, say, . Sufficient conditions are established for the stationary performance of such a Markov chain to be di...
Bernd Heidergott, Arie Hordijk, Heinz Weisshaupt