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114
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KI
2004
Springer
15 years 2 months ago
On-Line Decision-Theoretic Golog for Unpredictable Domains
Abstract. DTGolog was proposed by Boutilier et al. as an integration of decision-theoretic (DT) planning and the programming language Golog. Advantages include the ability to handl...
Alexander Ferrein, Christian Fritz, Gerhard Lakeme...
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 1 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
ECCV
2008
Springer
15 years 11 months ago
Semi-supervised On-Line Boosting for Robust Tracking
Abstract. Recently, on-line adaptation of binary classifiers for tracking have been investigated. On-line learning allows for simple classifiers since only the current view of the ...
Helmut Grabner, Christian Leistner, Horst Bischof
COLT
2003
Springer
15 years 2 months ago
On-Line Learning with Imperfect Monitoring
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...
Shie Mannor, Nahum Shimkin
86
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ICIA
2007
14 years 12 months ago
A Decision-Theoretic Model of Assistance - Evaluation, Extensions and Open Problems
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. In our earlier wor...
Sriraam Natarajan, Kshitij Judah, Prasad Tadepalli...