818 search results - page 140 / 164 » Regularized multi--task learning |
81
Voted
CONTEXT
1999
Springer
15 years 1 months ago
1999
Springer
When modelling complex systems one can not include all the causal factors, but one has to settle for partial models. This is alright if the factors left out are either so constant...
BMCBI
2004
14 years 9 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
90
Voted
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...