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114
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SIGMOD
2000
ACM
129views Database» more  SIGMOD 2000»
15 years 5 months ago
Mining Frequent Patterns without Candidate Generation
Mining frequent patterns in transaction databases, time-series databases, and many other kinds of databases has been studied popularly in data mining research. Most of the previous...
Jiawei Han, Jian Pei, Yiwen Yin
BMCBI
2010
113views more  BMCBI 2010»
15 years 21 days 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...
107
Voted
BMCBI
2010
117views more  BMCBI 2010»
15 years 21 days ago
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
Tim Harder, Wouter Boomsma, Martin Paluszewski, Je...
94
Voted
LREC
2010
153views Education» more  LREC 2010»
15 years 2 months ago
Developing a Deep Linguistic Databank Supporting a Collection of Treebanks: the CINTIL DeepGramBank
Corpora of sentences annotated with grammatical information have been deployed by extending the basic lexical and morphological data with increasingly complex information, such as...
António Branco, Francisco Costa, Joã...
WWW
2009
ACM
15 years 7 months ago
A probabilistic model based approach for blended search
In this paper, we propose to model the blended search problem by assuming conditional dependencies among queries, VSEs and search results. The probability distributions of this mo...
Ning Liu, Jun Yan, Zheng Chen