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ICASSP
2010
IEEE
14 years 10 months ago
A supervisory approach to semi-supervised clustering
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...
Bryan Conroy, Yongxin Taylor Xi, Peter J. Ramadge
JMLR
2010
129views more  JMLR 2010»
14 years 7 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
103
Voted
JMLR
2010
130views more  JMLR 2010»
14 years 7 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
105
Voted
RECOMB
2007
Springer
16 years 1 months ago
Reconstructing the Topology of Protein Complexes
Abstract. Recent advances in high-throughput experimental techniques have enabled the production of a wealth of protein interaction data, rich in both quantity and variety. While t...
Allister Bernard, David S. Vaughn, Alexander J. Ha...
NAR
2007
111views more  NAR 2007»
15 years 8 days ago
Michigan Molecular Interactions (MiMI): putting the jigsaw puzzle together
Protein interaction data exists in a number of repositories. Each repository has its own data format, molecule identifier and supplementary information. Michigan Molecular Interac...
Magesh Jayapandian, Adriane Chapman, V. Glenn Tarc...