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» Out of context: Computer systems that adapt to, and learn fr...
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SAC
2010
ACM
14 years 3 months ago
Towards the induction of terminological decision trees
A concept learning framework for terminological representations is introduced. It is grounded on a method for inducing logic decision trees as an adaptation of the classic tree in...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
IROS
2006
IEEE
193views Robotics» more  IROS 2006»
14 years 2 months ago
Adaptive Human-Robot Interaction System using Interactive EC
— We created a human-robot communication system that can adapt to user preferences that can easily change through communication. Even if any learning algorithms are used, evaluat...
Yuki Suga, Chihiro Endo, Daizo Kobayashi, T. Matsu...
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
14 years 1 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
NOSSDAV
2009
Springer
14 years 3 months ago
Fine-grained scalable streaming from coarse-grained videos
Scalable video is an attractive option for adapting the bandwidth consumption of streaming video to the available bandwidth. Fine-grained scalability can adapt most closely to the...
Pengpeng Ni, Alexander Eichhorn, Carsten Griwodz, ...
NORDICHI
2004
ACM
14 years 2 months ago
Adaptivity in speech-based multilingual e-mail client
In speech interfaces users must be aware what can be done with the system – in other words, the system must provide information to help the users to know what to say. We have ad...
Esa-Pekka Salonen, Mikko Hartikainen, Markku Turun...