1484 search results - page 73 / 297 » Semi-supervised Learning from General Unlabeled Data |
STACS
1999
Springer
14 years 2 days ago
1999
Springer
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Training accurate acoustic models typically requires a large amount of transcribed data, which can be expensive to obtain. In this paper, we describe a novel semi-supervised learn...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
NIPS
2004
13 years 9 months ago
2004
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
CVPR
2011
IEEE
13 years 4 months ago
2011
IEEE
Objects vary in their visual complexity, yet existing discovery methods perform “batch” clustering, paying equal attention to all instances simultaneously—regardless of the ...