79 search results - page 9 / 16 » Convex multi-task feature learning |
ICDM
2009
IEEE
14 years 5 months ago
2009
IEEE
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Publication
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
AAAI
2006
14 years 9 days ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...