19 search results - page 3 / 4 » Approximating a Gram Matrix for Improved Kernel-Based Learni... |
ICMLA
2009
13 years 4 months ago
2009
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
AAAI
2010
13 years 7 months ago
2010
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
CVPR
2007
IEEE
14 years 8 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
ICDM
2009
IEEE
14 years 1 months ago
2009
IEEE
—In graph-based learning models, entities are often represented as vertices in an undirected graph with weighted edges describing the relationships between entities. In many real...