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CORR
2012
Springer
210views Education» more  CORR 2012»
14 years 2 months ago
Fast MCMC sampling for Markov jump processes and continuous time Bayesian networks
Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Vinayak Rao, Yee Whye Teh
ACL
2012
13 years 9 months ago
Mixing Multiple Translation Models in Statistical Machine Translation
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
Majid Razmara, George Foster, Baskaran Sankaran, A...
BMCBI
2006
122views more  BMCBI 2006»
15 years 6 months ago
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sa...
CCE
2006
15 years 6 months ago
Modeling and temperature control of rapid thermal processing
In the past few years, Rapid Thermal Processes (RTP) have gained acceptance as mainstream technology for semi-conductors manufacturing. These processes are characterized by a sing...
Eyal Dassau, Benyamin Grosman, Daniel R. Lewin
SOCO
2010
Springer
15 years 5 months ago
Automatic detection of trends in time-stamped sequences: an evolutionary approach
This paper presents an evolutionary algorithm for modeling the arrival dates in time-stamped data sequences such as newscasts, e-mails, IRC conversations, scientific journal artic...
Lourdes Araujo, Juan Julián Merelo Guerv&oa...