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119
Voted
NIPS
2007
15 years 5 months ago
2007
We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
93
Voted
ORL
2007
15 years 3 months ago
2007
We propose online decision strategies for time-dependent sequences of linear programs which use no distributional and minimal geometric assumptions about the data. These strategies...
129
Voted
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to...
130
Voted
COLING
2002
15 years 3 months ago
2002
The LinGO Redwoods initiative is a seed activity in the design and development of a new type of treebank. While several medium- to large-scale treebanks exist for English (and for...
118
Voted
NIPS
2008
15 years 5 months ago
2008
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...