995 search results - page 106 / 199 » Learning Useful Horn Approximations |
109
click to vote
PKDD
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
123
Voted
JMLR
2010
14 years 7 months ago
2010
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
94
Voted
PR
2007
15 years 5 days ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
124
click to vote
PKDD
2010
Springer
14 years 11 months ago
2010
Springer
In this paper we propose a Bayesian model for multi-task feature selection. This model is based on a generalized spike and slab sparse prior distribution that enforces the selectio...
110
Voted
ALT
2007
Springer
15 years 6 months ago
2007
Springer
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...