2665 search results - page 377 / 533 » Bundle Methods for Machine Learning |
102
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
100
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
92
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Many collective labeling tasks require inference on graphical models where the clique potentials depend only on the number of nodes that get a particular label. We design efficien...
113
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan...
131
Voted
ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...