467 search results - page 37 / 94 » Learning Mixtures of DAG Models |
134
Voted
FOCI
2007
IEEE
15 years 10 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
135
Voted
DATAMINE
2006
15 years 3 months ago
2006
Motivated by the poor performance (linear complexity) of the EM algorithm in clustering large data sets, and inspired by the successful accelerated versions of related algorithms l...
138
Voted
PKDD
2010
Springer
15 years 2 months ago
2010
Springer
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
148
Voted
KDD
2004
ACM
16 years 4 months ago
2004
ACM
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
155
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...