10419 search results - page 187 / 2084 » Relational information gain |
182
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TSMC
2008
15 years 6 months ago
2008
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...
185
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IEAAIE
2010
Springer
15 years 4 months ago
2010
Springer
Gene functions is an essential knowledge for understanding how metabolism works and designing treatments for solving malfunctions. The Modular Multi-Relational Framework (MMRF) is ...
196
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EMNLP
2010
15 years 4 months ago
2010
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
208
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
186
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ILP
2007
Springer
16 years 24 days ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...