Sciweavers

3381 search results - page 183 / 677
» LEO - DB2's LEarning Optimizer
Sort
View
BMCBI
2010
182views more  BMCBI 2010»
15 years 4 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
LION
2009
Springer
152views Optimization» more  LION 2009»
15 years 11 months ago
Comparison of Coarsening Schemes for Multilevel Graph Partitioning
Graph partitioning is a well-known optimization problem of great interest in theoretical and applied studies. Since the 1990s, many multilevel schemes have been introduced as a pra...
Cédric Chevalier, Ilya Safro
GECCO
1999
Springer
105views Optimization» more  GECCO 1999»
15 years 8 months ago
Linkage Information Processing In Distribution Estimation Algorithms
The last few years there has been an increasing amount of interest in the eld of distribution estimation optimization algorithms. As more techniques are introduced, the variety in...
Peter A. N. Bosman, Dirk Thierens
ICML
2009
IEEE
16 years 5 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
ICML
2003
IEEE
16 years 5 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims