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» Experimental Design for Variable Selection in Data Bases
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JMLR
2010
129views more  JMLR 2010»
15 years 1 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
BMCBI
2007
154views more  BMCBI 2007»
15 years 6 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
CORR
2010
Springer
218views Education» more  CORR 2010»
15 years 3 months ago
User Centered and Ontology Based Information Retrieval System for Life Sciences
Because of the increasing number of electronic data, designing efficient tools to retrieve and exploit documents is a major challenge. Current search engines suffer from two main d...
Sylvie Ranwez, Vincent Ranwez, Mohameth-Fran&ccedi...
CHI
1998
ACM
15 years 10 months ago
A Multiple Device Approach for Supporting Whiteboard-Based Interactions
In this paper, we propose a multiple-device approach for supporting informal meetings using a digital whiteboard. Traditional digital whiteboard systems often suffer from a limite...
Jun Rekimoto
VLDB
2005
ACM
112views Database» more  VLDB 2005»
15 years 11 months ago
Content-Based Routing: Different Plans for Different Data
Query optimizers in current database systems are designed to pick a single efficient plan for a given query based on current statistical properties of the data. However, different...
Pedro Bizarro, Shivnath Babu, David J. DeWitt, Jen...