ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
A new class of nonparametric algorithms for high-dimensional binary classification is proposed using cascades of low dimensional polynomial structures. Construction of polynomial ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
In many application domains there is a large amount of unlabeled data but only a very limited amount of labeled training data. One general approach that has been explored for util...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...