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IJDMB
2008
132views more  IJDMB 2008»
13 years 10 months ago
A Bayesian framework for knowledge driven regression model in micro-array data analysis
: This paper addresses the sparse data problem in the linear regression model, namely the number of variables is significantly larger than the number of the data points for regress...
Rong Jin, Luo Si, Christina Chan
EXPERT
2006
94views more  EXPERT 2006»
13 years 10 months ago
A Canonical Agent Model for Healthcare Applications
o address the need for canonical abstraction, we've adopted software engineering's concept of signatures--a technique for defining software patterns or invariant procedur...
John Fox, David Glasspool, Sanjay Modgil
CSDA
2007
105views more  CSDA 2007»
13 years 10 months ago
GSA-based maximum likelihood estimation for threshold vector error correction model
The log-likelihood function of threshold vector error correction models is neither differentiable, nor smooth with respect to some parameters. Therefore, it is very difficult to ...
Zheng Yang, Zheng Tian, Zixia Yuan
CSL
2007
Springer
13 years 10 months ago
Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins
AIR
2002
65views more  AIR 2002»
13 years 10 months ago
User Modeling for Personalized City Tours
Several current support systems for travel and tourism are aimed at providing information in a personalized manner, taking users' interests and preferences into account. In t...
Josef Fink, Alfred Kobsa