1334 search results - page 210 / 267 » Composite kernel learning |
107
Voted
NIPS
1993
15 years 3 months ago
1993
We consider the problem of how the CNS learns to control dynamics of a mechanical system. By using a paradigm where a subject's hand interacts with a virtual mechanical envir...
111
Voted
AROBOTS
2004
15 years 2 months ago
2004
We propose a new method to program robots based on Bayesian inference and learning. It is called BRP for Bayesian Robot Programming. The capacities of this programming method are d...
121
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
133
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
123
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...