1017 search results - page 77 / 204 » Constructive and collaborative learning of algorithms |
105
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NIPS
2004
15 years 2 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...
87
Voted
ICML
2006
IEEE
16 years 1 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....
98
Voted
CORR
2000
Springer
15 years 19 days 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...
102
Voted
JMLR
2008
15 years 24 days 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...
117
Voted
AAAI
2011
14 years 25 days 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...