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AAAI
2008
13 years 11 months ago
Maximum Entropy Inverse Reinforcement Learning
Recent research has shown the benefit of framing problems of imitation learning as solutions to Markov Decision Problems. This approach reduces learning to the problem of recoveri...
Brian Ziebart, Andrew L. Maas, J. Andrew Bagnell, ...
AIA
2007
13 years 10 months ago
Improving extractive dialogue summarization by utilizing human feedback
Automatic summarization systems usually are trained and evaluated in a particular domain with fixed data sets. When such a system is to be applied to slightly different input, la...
Margot Mieskes, Christoph Müller, Michael Str...
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
INTERSPEECH
2010
13 years 3 months ago
Identifying articulatory goals from kinematic data using principal differential analysis
Articulatory goals can be highly indicative of lexical intentions, but are rarely used in speech classification tasks. In this paper we show that principal differential analysis c...
Michael Reimer, Frank Rudzicz
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
14 years 9 months ago
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffr...