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JMLR
2012
13 years 4 days ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
BMCBI
2008
137views more  BMCBI 2008»
14 years 9 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
TREC
2007
14 years 10 months ago
Opinion Retrieval Experiments Using Generative Models: Experiments for the TREC 2007 Blog Track
Ranking blog posts that express opinions regarding a given topic should serve a critical function in helping users. We explored a couple of methods for opinion retrieval in the fr...
Yuki Arai, Koji Eguchi
AIED
2009
Springer
15 years 4 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
NGITS
1995
Springer
15 years 1 months ago
Category Translation: Learning to Understand Information on the Internet
This paper investigates the problem ofautomatically learning declarative models of information sources available on the Internet. We report on ILA, a domain-independent program th...
Mike Perkowitz, Oren Etzioni