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IJCAI
2007
15 years 7 months ago
Online Learning and Exploiting Relational Models in Reinforcement Learning
In recent years, there has been a growing interest in using rich representations such as relational languages for reinforcement learning. However, while expressive languages have ...
Tom Croonenborghs, Jan Ramon, Hendrik Blockeel, Ma...
ICASSP
2011
IEEE
14 years 10 months ago
Online learning with minority class resampling
This paper considers using online binary classification for target detection where the goal is to identify signals of interest within a sequence of received signals generated by ...
Michael J. Pekala, Ashley J. Llorens
PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 12 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
SOFSEM
2010
Springer
16 years 3 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
ICDE
2008
IEEE
151views Database» more  ICDE 2008»
16 years 7 months ago
Matching Schemas in Online Communities: A Web 2.0 Approach
When integrating data from multiple sources, a key task that online communities often face is to match the schemas of the data sources. Today, such matching often incurs a huge wor...
Robert McCann, Warren Shen, AnHai Doan