222 search results - page 12 / 45 » Learning Optimal Parameters in Decision-Theoretic Rough Sets |
JMLR
2012
11 years 11 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
ICRA
2010
IEEE
13 years 7 months ago
2010
IEEE
— We describe a simple and intuitive policy gradient method for improving parametrized quadrocopter multi-flips by combining iterative experiments with information from a first...
JMLR
2010
13 years 3 months ago
2010
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— One of the major drawbacks of the Hopfield network is that when it is applied to certain polytopes of combinatorial problems, such as the traveling salesman problem (TSP), the...
AAAI
2010
13 years 10 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...