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ICANN
2005
Springer
16 years 18 days ago
Manifold Constrained Variational Mixtures
In many data mining applications, the data manifold is of lower dimension than the dimension of the input space. In this paper, it is proposed to take advantage of this additional ...
Cédric Archambeau, Michel Verleysen
ICDM
2002
IEEE
93views Data Mining» more  ICDM 2002»
16 years 18 hour ago
Learning from Order Examples
We advocate a new learning task that deals with orders of items, and we call this the Learning from Order Examples (LOE) task. The aim of the task is to acquire the rule that is u...
Toshihiro Kamishima, Shotaro Akaho
ICDM
2002
IEEE
448views Data Mining» more  ICDM 2002»
16 years 18 hour ago
Feature Selection Algorithms: A Survey and Experimental Evaluation
In view of the substantial number of existing feature selection algorithms, the need arises to count on criteria that enables to adequately decide which algorithm to use in certai...
Luis Carlos Molina, Lluís Belanche, À...
AUSDM
2006
Springer
145views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Discover Knowledge From Distribution Maps Using Bayesian Networks
This paper applies a Bayesian network to model multi criteria distribution maps and to discover knowledge contained in spatial data. The procedure consists of three steps: pre pro...
Norazwin Buang, Nianjun Liu, Terry Caelli, Rob Les...
SDM
2007
SIAM
143views Data Mining» more  SDM 2007»
15 years 8 months ago
Clustering by weighted cuts in directed graphs
In this paper we formulate spectral clustering in directed graphs as an optimization problem, the objective being a weighted cut in the directed graph. This objective extends seve...
Marina Meila, William Pentney