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BMCBI
2010
229views more  BMCBI 2010»
14 years 11 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
KDD
2007
ACM
189views Data Mining» more  KDD 2007»
16 years 1 days ago
Corroborate and learn facts from the web
The web contains lots of interesting factual information about entities, such as celebrities, movies or products. This paper describes a robust bootstrapping approach to corrobora...
Shubin Zhao, Jonathan Betz
85
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BMCBI
2004
112views more  BMCBI 2004»
14 years 11 months ago
SPOC: A widely distributed domain associated with cancer, apoptosis and transcription
Background: The Split ends (Spen) family are large proteins characterised by N-terminal RNA recognition motifs (RRMs) and a conserved SPOC (Spen paralog and ortholog C-terminal) d...
Luis Sánchez-Pulido, Ana María Rojas...