3643 search results - page 107 / 729 » Learning Submodular Functions |
JMLR
2010
14 years 9 months ago
2010
In this paper, we study the problem of learning a matrix W from a set of linear measurements. Our formulation consists in solving an optimization problem which involves regulariza...
116
Voted
ROBIO
2006
IEEE
15 years 8 months ago
2006
IEEE
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
150
Voted
ISNN
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
133
Voted
ATAL
2009
Springer
15 years 9 months ago
2009
Springer
The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
134
Voted
RAS
2002
15 years 2 months ago
2002
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...