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» An Instance Selection Approach to Multiple Instance Learning
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INFOVIS
1999
IEEE
14 years 1 months ago
Efficient Multi-Object Dynamic Query Histograms
Dynamic Queries offer continuous feedback during range queries, and have been shown to be effective and satisfying. Recent work has extended them to datasets of 100,000 objects an...
Mark Derthick, James Harrison, Andrew Moore, Steve...
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 16 days ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba
NIPS
2007
13 years 10 months ago
Learning and using relational theories
Much of human knowledge is organized into sophisticated systems that are often called intuitive theories. We propose that intuitive theories are mentally represented in a logical ...
Charles Kemp, Noah Goodman, Joshua B. Tenenbaum
CIKM
2010
Springer
13 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
WWW
2003
ACM
14 years 9 months ago
A Presentation Architecture for Individualized Content
A modern approach for generating individualized web-sites is to compose a page out of individual elements, for instance XML-fragments, which is eventually transformed to . If the ...
Alberto González Palomo, Carsten Ullrich, P...