766 search results - page 5 / 154 » Variations on U-Shaped Learning |
ICVS
2003
Springer
15 years 2 months 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
14 years 4 months ago
2011
JMLR
2010
14 years 4 months ago
2010
78
Voted
ALT
2005
Springer
2005
Springer
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
15 years 6 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...
103
Voted
ICML
2009
IEEE
15 years 10 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. ...