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CEC
2005
IEEE
14 years 29 days ago
Multiobjective clustering around medoids
Abstract- The large majority of existing clustering algorithms are centered around the notion of a feature, that is, individual data items are represented by their intrinsic proper...
Julia Handl, Joshua D. Knowles
BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
CVPR
2009
IEEE
15 years 2 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
KDD
2005
ACM
117views Data Mining» more  KDD 2005»
14 years 7 months ago
Rule extraction from linear support vector machines
We describe an algorithm for converting linear support vector machines and any other arbitrary hyperplane-based linear classifiers into a set of non-overlapping rules that, unlike...
Glenn Fung, Sathyakama Sandilya, R. Bharat Rao
RECOMB
2001
Springer
14 years 7 months ago
Predicting the beta-helix fold from protein sequence data
A method is presented that uses b-strand interactions to predict the parallel right-handed b-helix super-secondary structural motif in protein sequences. A program called BetaWrap...
Phil Bradley, Lenore Cowen, Matthew Menke, Jonatha...