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GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
SIGMOD
2009
ACM
155views Database» more  SIGMOD 2009»
14 years 8 months ago
Efficient top-k algorithms for fuzzy search in string collections
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...
Rares Vernica, Chen Li
BMCBI
2008
124views more  BMCBI 2008»
13 years 8 months ago
Inferring modules of functionally interacting proteins using the Bond Energy Algorithm
Background: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 8 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...
KDD
1998
ACM
146views Data Mining» more  KDD 1998»
14 years 2 days ago
Mining Association Rules in Hypertext Databases
In this workweproposea generalisation of the notion of associationrule in the contextof flat transactions to that of a compositeassociation rule in the context of a structured dir...
José Borges, Mark Levene