2027 search results - page 46 / 406 » Learning and Generalization with the Information Bottleneck |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
COLT
2008
Springer
14 years 11 months ago
2008
Springer
We study the problem of clustering discrete probability distributions with respect to the Kullback-Leibler (KL) divergence. This problem arises naturally in many applications. Our...
CIKM
2006
Springer
15 years 1 months ago
2006
Springer
In practical classification, there is often a mix of learnable and unlearnable classes and only a classifier above a minimum performance threshold can be deployed. This problem is...
ISMIR
2005
Springer
15 years 3 months ago
2005
Springer
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
DEBU
2008
14 years 10 months ago
2008
Process mining has emerged as a way to discover or check the conformance of processes based on event logs. This enables organizations to learn from processes as they really take p...