5463 search results - page 134 / 1093 » Evaluating algorithms that learn from data streams |
129
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GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
127
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GFKL
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
147
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KDD
2009
ACM
15 years 8 months ago
2009
ACM
Overall performance of the data mining process depends not just on the value of the induced knowledge but also on various costs of the process itself such as the cost of acquiring...
161
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KDD
2006
ACM
16 years 4 months ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
143
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SAC
2009
ACM
15 years 11 months ago
2009
ACM
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...