766 search results - page 5 / 154 » Variations on U-Shaped Learning |
ICVS
2003
Springer
14 years 17 days ago
2003
Springer
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
COGSCI
2011
13 years 2 months ago
2011
JMLR
2010
13 years 2 months ago
2010
ALT
2005
Springer
2005
Springer
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
14 years 4 months ago
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...