447 search results - page 4 / 90 » Generalization from Observed to Unobserved Features by Clust... |
PAKM
2008
14 years 11 months ago
2008
With a rich variety of forms and types, digital resources are complex data objects. They grows fast in volume on the Web, but hard to be classified efficiently. The paper presents ...
IDEAL
2000
Springer
15 years 1 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
107
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SIGMOD
2000
ACM
15 years 1 months ago
2000
ACM
High dimensional data has always been a challenge for clustering algorithms because of the inherent sparsity of the points. Recent research results indicate that in high dimension...
131
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EMNETS
2007
15 years 1 months ago
2007
Imagers are an increasingly significant source of sensory observations about human activity and the urban environment. ImageScape is a software tool for processing, clustering, an...