1393 search results - page 174 / 279 » Machine Learning by Function Decomposition |
130
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ICML
2002
IEEE
16 years 2 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
117
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ML
2008
ACM
15 years 1 months ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
116
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COLT
2010
Springer
14 years 11 months ago
2010
Springer
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
130
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JMLR
2006
15 years 1 months ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
We discuss the problem of clustering elements according to the sources that have generated them. For elements that are characterized by independent binary attributes, a closedform...