25 search results - page 5 / 5 » Improved Algorithms for the Minmax Regret 1-Median Problem |
CIMCA
2008
IEEE
14 years 3 months ago
2008
IEEE
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
CORR
2007
Springer
13 years 8 months ago
2007
Springer
Bandit based methods for tree search have recently gained popularity when applied to huge trees, e.g. in the game of go [6]. Their efficient exploration of the tree enables to ret...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
JMLR
2010
13 years 3 months ago
2010
Imitation Learning, while applied successfully on many large real-world problems, is typically addressed as a standard supervised learning problem, where it is assumed the trainin...
EDBT
2006
ACM
14 years 8 months ago
2006
ACM
Abstract. Mobile objects have become ubiquitous in our everyday lives, ranging from cellular phones to sensors, therefore, analyzing and mining mobile data becomes an interesting p...