509 search results - page 36 / 102 » Localized multiple kernel learning |
SIGIR
2004
ACM
15 years 3 months ago
2004
ACM
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
NIPS
2007
14 years 11 months ago
2007
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
83
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Higher order spatial features, such as doublets or
triplets have been used to incorporate spatial information
into the bag-of-local-features model. Due to computational
limits, ...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper we propose an alternative interpretation of Bayesian learning based on maximal evidence principle. We establish a notion of local evidence which can be viewed as a c...