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COLT
2005
Springer
14 years 1 months ago
Separating Models of Learning from Correlated and Uncorrelated Data
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
Ariel Elbaz, Homin K. Lee, Rocco A. Servedio, Andr...
NIPS
2004
13 years 9 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
SSDBM
2003
IEEE
123views Database» more  SSDBM 2003»
14 years 27 days ago
MoBIoS: A Metric-Space DBMS to Support Biological Discovery
MoBIoS is a specialized database management system whose storage manager is based on metric-space indexing, and whose query language entails biological data types. When relational...
Daniel P. Miranker, Weijia Xu, Rui Mao
ALT
2008
Springer
14 years 4 months ago
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
Arthur Gretton, László Györfi
CSDA
2008
108views more  CSDA 2008»
13 years 7 months ago
The random Tukey depth
The computation of the Tukey depth, also called halfspace depth, is very demanding, even in low dimensional spaces, because it requires that all possible one-dimensional projectio...
J. A. Cuesta-Albertos, A. Nieto-Reyes