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TNN
1998
111views more  TNN 1998»
15 years 6 months ago
Asymptotic distributions associated to Oja's learning equation for neural networks
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
Jean Pierre Delmas, Jean-Francois Cardos
ICDM
2009
IEEE
92views Data Mining» more  ICDM 2009»
15 years 4 months ago
Semi-supervised Multi-task Learning with Task Regularizations
Multi-task learning refers to the learning problem of performing inference by jointly considering multiple related tasks. There have already been many research efforts on supervise...
Fei Wang, Xin Wang, Tao Li

Book
323views
17 years 4 months ago
Adaptive Object-Oriented Software: a PWS book
"This book introduces a software development method, called the Demeter Method, for developing adaptive object-oriented software. The reader will learn the Demeter Method for...
Karl J. Lieberherr
ICML
2008
IEEE
16 years 7 months ago
A rate-distortion one-class model and its applications to clustering
In one-class classification we seek a rule to find a coherent subset of instances similar to a few positive examples in a large pool of instances. The problem can be formulated an...
Koby Crammer, Partha Pratim Talukdar, Fernando Per...
MLDM
2009
Springer
16 years 25 days ago
The Needles-in-Haystack Problem
We consider a new data mining problem of detecting the members of a rare class of data, the needles, that have been hidden in a set of records, the haystack. Besides the haystack, ...
Katherine Moreland, Klaus Truemper