93 search results - page 6 / 19 » Supervised probabilistic principal component analysis |
ACL
2000
13 years 9 months ago
2000
This paper presents a corpus-based algorithm capable of inducing inflectional morphological analyses of both regular and highly irregular forms (such as broughtbring) from distrib...
NIPS
2008
13 years 9 months ago
2008
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
GECCO
2003
Springer
14 years 27 days ago
2003
Springer
In this paper, a new model of Probabilistic Model-Building Genetic Algorithms (PMBGAs), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design var...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
Training principles for unsupervised learning are often derived from motivations that appear to be independent of supervised learning. In this paper we present a simple unificatio...
ICIAP
1999
ACM
13 years 12 months ago
1999
ACM
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...