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JCB
2008
159views more  JCB 2008»
13 years 7 months ago
BayesMD: Flexible Biological Modeling for Motif Discovery
We present BayesMD, a Bayesian Motif Discovery model with several new features. Three different types of biological a priori knowledge are built into the framework in a modular fa...
Man-Hung Eric Tang, Anders Krogh, Ole Winther
BMCBI
2010
127views more  BMCBI 2010»
13 years 7 months ago
PeptideMine - A webserver for the design of peptides for protein-peptide binding studies derived from protein-protein interactom
Background: Signal transduction events often involve transient, yet specific, interactions between structurally conserved protein domains and polypeptide sequences in target prote...
Khader Shameer, Lalima L. Madan, Shivamurthy Veera...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 2 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
SIGIR
2003
ACM
14 years 27 days ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
GECCO
2006
Springer
128views Optimization» more  GECCO 2006»
13 years 11 months ago
FTXI: fault tolerance XCS in integer
In the realm of data mining, several key issues exists in the traditional classification algorithms, such as low readability, large rule number, and low accuracy with information ...
Hong-Wei Chen, Ying-Ping Chen