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ALT
2006
Springer
14 years 2 months ago
Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring
In this paper the sequential prediction problem with expert advice is considered when the loss is unbounded under partial monitoring scenarios. We deal with a wide class of the par...
Chamy Allenberg, Peter Auer, László ...
AUSAI
2005
Springer
14 years 4 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
14 years 3 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
CVPR
2010
IEEE
14 years 4 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
ICRA
2007
IEEE
98views Robotics» more  ICRA 2007»
14 years 5 months ago
Incremental On-Line Topological Map Learning for A Visual Homing Application
— In this paper we propose an on-line incremental vision-based topological map learning for AIBO robots. The topological map is represented through a graph, where the vertices en...
Elvina Motard, Bogdan Raducanu, Viviane Cadenat, J...