1215 search results - page 67 / 243 » Dimensions of machine learning in design |
ICML
2009
IEEE
14 years 10 months ago
2009
IEEE
We cast model-free reinforcement learning as the problem of maximizing the likelihood of a probabilistic mixture model via sampling, addressing both the infinite and finite horizo...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
IJCNN
2006
IEEE
14 years 3 months ago
2006
IEEE
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
IEAAIE
2005
Springer
14 years 2 months ago
2005
Springer
Prediction is an important task in robot motor control where it is used to gain feedback for a controller. With such a self-generated feedback, which is available before sensor rea...
IJCAI
2007
13 years 10 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...