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ISDA
2009
IEEE
15 years 10 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
118
Voted
ICANN
2007
Springer
15 years 10 months ago
A Distributed Message Passing Algorithm for Sensor Localization
We propose a fully distributed message passing algorithm based on expectation propagation for the purpose of sensor localization. Sensors perform noisy measurements of their mutual...
Max Welling, Joseph J. Lim
CAISE
2004
Springer
15 years 9 months ago
Why we understand each other: the role of the context
This short paper addresses the problem of mutual understanding from an anthropomorphic point of view, highlighting the underlying basic mechanisms and principles. Then the paper ex...
G. Andrighetto, Pierluigi Assogna
129
Voted
ECAI
2004
Springer
15 years 9 months ago
Uncertain Linear Constraints
Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying many AI uncertainty for...
Nic Wilson
ECML
2004
Springer
15 years 9 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...