1339 search results - page 104 / 268 » Learning Functions from Imperfect Positive Data |
139
Voted
AI
2008
Springer
15 years 3 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
133
Voted
ICC
2007
IEEE
15 years 10 months ago
2007
IEEE
— During the last years, the amount of genetic data available has increased rapidly which creates the demand for advanced techniques for their interpretation. In the following, w...
131
Voted
SAGA
2001
Springer
15 years 8 months ago
2001
Springer
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
177
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KDD
2008
ACM
16 years 4 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
139
Voted
NAACL
2003
15 years 4 months ago
2003
A serious bottleneck in the development of trainable text summarization systems is the shortage of training data. Constructing such data is a very tedious task, especially because...