1017 search results - page 77 / 204 » Constructive and collaborative learning of algorithms |
131
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NIPS
2004
15 years 4 months ago
2004
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
107
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
124
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CORR
2000
Springer
15 years 3 months ago
2000
Springer
We investigate the performance of two machine learning algorithms in the context of antispam filtering. The increasing volume of unsolicited bulk e-mail (spam) has generated a nee...
122
Voted
JMLR
2008
15 years 3 months ago
2008
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
139
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AAAI
2011
14 years 3 months ago
2011
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...