We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
The paper describes a tool designed within the first stage of the European project INVISIP in order to explore geographical metadata in the site planning process. A visual data mi...
We develop data structures for dynamic closest pair problems with arbitrary (not necessarily geometric) distance functions, based on a technique previously used by the author for ...
Non-negative matrix factorization (NMF) has previously been shown to be a useful decomposition for multivariate data. Two different multiplicative algorithms for NMF are analyzed....
Multiple sequence alignment has been a useful methodin the study of molecular evolution and sequence-structure relationships. This paper presents a newmethodfor multiple sequence ...