10594 search results - page 293 / 2119 » Learning classifier systems |
156
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
115
Voted
KDD
2009
ACM
16 years 4 months ago
2009
ACM
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
135
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The k-Nearest Neighbors algorithm can be easily adapted to classify complex objects (e.g. sets, graphs) as long as a proper dissimilarity function is given over an input space. Bo...
113
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Feature selection is often applied to highdimensional data prior to classification learning. Using the same training dataset in both selection and learning can result in socalled ...
139
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VR
2008
IEEE
15 years 3 months ago
2008
IEEE
: The aim of all education is to apply what we learn in different contexts and to recognise and extend this learning to new situations. Virtual learning environments can used to bu...