Sciweavers

8970 search results - page 393 / 1794
» Learning to Learn Causal Models
Sort
View
178
Voted
ICASSP
2009
IEEE
16 years 1 months ago
A variational EM algorithm for learning eigenvoice parameters in mixed signals
We derive an efficient learning algorithm for model-based source separation for use on single channel speech mixtures where the precise source characteristics are not known a pri...
Ron J. Weiss, Daniel P. W. Ellis
FUZZIEEE
2007
IEEE
16 years 1 months ago
Learning Undirected Possibilistic Networks with Conditional Independence Tests
—Approaches based on conditional independence tests are among the most popular methods for learning graphical models from data. Due to the predominance of Bayesian networks in th...
Christian Borgelt
AIED
2007
Springer
16 years 1 months ago
Taking advantage of the Semantics of a Lesson Graph based on Learning Objects
Lesson graphs are composed of Learning Objects (LOs) and include a valuable amount of information about the content and usage of the LOs, described by the LO metadata. Graphs also ...
Olivier Motelet, Nelson Baloian, Benjamin Piwowars...
205
Voted
ICVGIP
2004
15 years 8 months ago
Learning Layered Pictorial Structures from Video
We propose a new unsupervised learning method to obtain a layered pictorial structure (LPS) representation of an articulated object from video sequences. It will be seen that this...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
173
Voted
NIPS
1998
15 years 8 months ago
Lazy Learning Meets the Recursive Least Squares Algorithm
Lazy learning is a memory-based technique that, once a query is received, extracts a prediction interpolating locally the neighboring examples of the query which are considered re...
Mauro Birattari, Gianluca Bontempi, Hugues Bersini