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» Sequence Discrimination Using Phase-Type Distributions
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RECOMB
2003
Springer
14 years 5 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
BMCBI
2010
113views more  BMCBI 2010»
13 years 5 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
TSP
2010
12 years 11 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
SIGIR
2008
ACM
13 years 4 months ago
A unified and discriminative model for query refinement
This paper addresses the issue of query refinement, which involves reformulating ill-formed search queries in order to enhance relevance of search results. Query refinement typica...
Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng
EACL
2003
ACL Anthology
13 years 6 months ago
Detecting Novel Compounds: The Role of Distributional Evidence
Research on the discovery of terms from corpora has focused on word sequences whose recurrent occurrence in a corpus is indicative of their terminological status, and has not addr...
Mirella Lapata, Alex Lascarides