1022 search results - page 73 / 205 » Adaptive Clustering Ensembles |
CLUSTER
2006
IEEE
15 years 6 months ago
2006
IEEE
Clusters are the most common solutions for high performance computing at the present time. In this kind of systems, an important challenge is the I/O subsystem design. Typically, ...
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RTSS
2006
IEEE
15 years 5 months ago
2006
IEEE
Recent years have seen rapid growth of online services that rely on large-scale server clusters to handle high volume of requests. Such clusters must adaptively control the CPU ut...
ACSW
2004
15 years 1 months ago
2004
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
GECCO
2009
Springer
15 years 6 months ago
2009
Springer
A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to neural networks. This paper presents results fr...
IRMA
2000
15 years 1 months ago
2000
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...