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» Feature Selection in Clustering Problems
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ICPR
2000
IEEE
14 years 10 months ago
Measuring the Complexity of Classification Problems
We studied a number of measures that characterize the difficulty of a classification problem. We compared a set of real world problems to random combinations of points in this mea...
Tin Kam Ho, Mitra Basu
SIGIR
2004
ACM
14 years 2 months ago
A music recommender based on audio features
Many collaborative music recommender systems (CMRS) have succeeded in capturing the similarity among users or items based on ratings, however they have rarely considered about the...
Qing Li, Byeong Man Kim, Donghai Guan, Duk whan Oh
IDA
2003
Springer
14 years 2 months ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ESANN
2007
13 years 10 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
EWCBR
2004
Springer
14 years 2 months ago
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
A fundamental problem for case-based reasoning systems is how to select relevant prior cases. Numerous strategies have been developed for determining the similarity of prior cases,...
Steven Bogaerts, David B. Leake