10054 search results - page 196 / 2011 » On the Complexity of Function Learning |
86
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
103
Voted
COLT
2008
Springer
15 years 2 months ago
2008
Springer
Coordinate gradient learning is motivated by the problem of variable selection and determining variable covariation. In this paper we propose a novel unifying framework for coordi...
95
Voted
IJCAI
2003
15 years 2 months ago
2003
Multi-robot learning faces all of the challenges of robot learning with all of the challenges of multiagent learning. There has been a great deal of recent research on multiagent ...
102
Voted
GECCO
2008
Springer
15 years 1 months ago
2008
Springer
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
BMCBI
2008
15 years 26 days ago
2008
Background: Structure-based computational methods are needed to help identify and characterize protein-protein complexes and their function. For individual proteins, the most succ...