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» Using model knowledge for learning inverse dynamics
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IUI
2003
ACM
15 years 9 months ago
Inferring user goals from personality and behavior in a causal model of user affect
We present a probabilistic model, based on Dynamic Decision Networks, to assess user affect from possible causes of emotional arousal. The model relies on the OCC cognitive theory...
Xiaoming Zhou, Cristina Conati
CIKM
2010
Springer
15 years 2 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
COLING
2002
15 years 3 months ago
A Maximum Entropy-based Word Sense Disambiguation System
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
Armando Suárez, Manuel Palomar
ICASSP
2011
IEEE
14 years 7 months ago
Toward text message normalization: Modeling abbreviation generation
This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classifiers to learn the probability of deleting ...
Deana Pennell, Yang Liu
ICRA
2008
IEEE
210views Robotics» more  ICRA 2008»
15 years 10 months ago
Toward designing a robot that learns actions from parental demonstrations
— How to teach actions to a robot as well as how a robot learns actions is an important issue to be discussed in designing robot learning systems. Inspired by human parentinfant ...
Yukie Nagai, Claudia Muhl, Katharina J. Rohlfing