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ECML
2006
Springer
15 years 8 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
KDD
2003
ACM
116views Data Mining» more  KDD 2003»
16 years 4 months ago
XRules: an effective structural classifier for XML data
XML documents have recently become ubiquitous because of their varied applicability in a number of applications. Classification is an important problem in the data mining domain, ...
Mohammed Javeed Zaki, Charu C. Aggarwal
JMLR
2010
146views more  JMLR 2010»
14 years 11 months ago
Accurate Ensembles for Data Streams: Combining Restricted Hoeffding Trees using Stacking
The success of simple methods for classification shows that is is often not necessary to model complex attribute interactions to obtain good classification accuracy on practical p...
Albert Bifet, Eibe Frank, Geoffrey Holmes, Bernhar...
ICPR
2004
IEEE
16 years 5 months ago
Resolution Enhancement by AdaBoost
This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
Bhaskar D. Rao, Junwen Wu, Mohan M. Trivedi
FSMNLP
2008
Springer
15 years 5 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri