1419 search results - page 196 / 284 » Approximation Methods for Supervised Learning |
COLT
1999
Springer
14 years 2 months ago
1999
Springer
We propose a new boosting algorithm. This boosting algorithm is an adaptive version of the boost by majority algorithm and combines bounded goals of the boost by majority algorith...
NIPS
2008
13 years 11 months ago
2008
The Singular Value Decomposition is a key operation in many machine learning methods. Its computational cost, however, makes it unscalable and impractical for applications involvi...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
Graph-based methods form a main category of semisupervised
learning, offering flexibility and easy implementation
in many applications. However, the performance of
these methods...
ICML
2009
IEEE
14 years 11 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
ICTAI
2009
IEEE
14 years 4 months ago
2009
IEEE
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...