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» A Machine Learning Approach to Conjoint Analysis
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TSMC
2008
136views more  TSMC 2008»
14 years 10 months ago
Learning Relational Descriptions of Differentially Expressed Gene Groups
Abstract-- This paper presents a method that uses gene ontologies, together with the paradigm of relational subgroup discovery, to find compactly described groups of genes differen...
Igor Trajkovski, Filip Zelezný, Nada Lavrac...
BMCBI
2007
215views more  BMCBI 2007»
14 years 10 months ago
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregres
Background: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning the...
Rainer Opgen-Rhein, Korbinian Strimmer
TKDE
2010
168views more  TKDE 2010»
14 years 8 months ago
Completely Lazy Learning
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
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KBSE
2005
IEEE
15 years 3 months ago
Visualization-based analysis of quality for large-scale software systems
We propose an approach for complex software analysis based on visualization. Our work is motivated by the fact that in spite of years of research and practice, software developmen...
Guillaume Langelier, Houari A. Sahraoui, Pierre Po...
CORR
2006
Springer
92views Education» more  CORR 2006»
14 years 10 months ago
Event-based Information Extraction for the biomedical domain: the Caderige project
This paper gives an overview of the Caderige project. This project involves teams from different areas (biology, machine learning, natural language processing) in order to develop...
Érick Alphonse, Sophie Aubin, Philippe Bess...