1474 search results - page 3 / 295 » Using Machine Learning to Focus Iterative Optimization |
87
Voted
ALT
2007
Springer
15 years 6 months ago
2007
Springer
We consider the problem of learning and verifying hidden graphs and their properties given query access to the graphs. We analyze various queries (edge detection, edge counting, sh...
ICML
2006
IEEE
15 years 10 months ago
2006
IEEE
RELIEF is considered one of the most successful algorithms for assessing the quality of features. In this paper, we propose a set of new feature weighting algorithms that perform s...
103
Voted
IJCAI
2007
14 years 11 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
NECO
2008
14 years 9 months ago
2008
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
82
Voted
CEAS
2007
Springer
15 years 1 months ago
2007
Springer
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...