34 search results - page 2 / 7 » Using Clustering to Learn Distance Functions for Supervised ... |
BMCBI
2007
13 years 5 months ago
2007
Background: Protein-protein interactions are critical for cellular functions. Recently developed computational approaches for predicting protein-protein interactions utilize co-ev...
SSDBM
2010
IEEE
13 years 10 months ago
2010
IEEE
Similarity search and data mining often rely on distance or similarity functions in order to provide meaningful results and semantically meaningful patterns. However, standard dist...
ICML
2003
IEEE
14 years 6 months ago
2003
IEEE
We address the problem of learning distance metrics using side-information in the form of groups of "similar" points. We propose to use the RCA algorithm, which is a sim...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
BMCBI
2007
13 years 5 months ago
2007
Background: Structural genomics initiatives are producing increasing numbers of threedimensional (3D) structures for which there is little functional information. Structure-based ...