2934 search results - page 277 / 587 » Hypothesis Spaces for Learning |
163
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ICML
2000
IEEE
16 years 8 months ago
2000
IEEE
We report the results of a study on topic spotting in conversational speech. Using a machine learning approach, we build classifiers that accept an audio file of conversational hu...
239
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ICML
1995
IEEE
16 years 8 months ago
1995
IEEE
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
169
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OSDI
2008
ACM
16 years 7 months ago
2008
ACM
We pose partitioning a b-bit Internet Protocol (IP) address space as a supervised learning task. Given (IP, property) labeled training data, we develop an IP-specific clustering a...
216
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ECML
2005
Springer
16 years 26 days ago
2005
Springer
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
196
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ILP
2004
Springer
16 years 21 days ago
2004
Springer
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...