246 search results - page 9 / 50 » On Optimal Learning Algorithms for Multiplicity Automata |
KDD
2010
ACM
14 years 25 days ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
ATAL
2008
Springer
14 years 26 days ago
2008
Springer
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
ICML
1998
IEEE
14 years 11 months ago
1998
IEEE
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
ACMSE
2008
ACM
14 years 26 days ago
2008
ACM
With stock surpluses and shortages representing one of the greatest elements of risk to wholesalers, a solution to the multiretailer supply chain management problem would result i...
LCN
2006
IEEE
14 years 4 months ago
2006
IEEE
Literature on the use of machine learning (ML) algorithms for classifying IP traffic has relied on fullflows or the first few packets of flows. In contrast, many real-world scenar...