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NAACL
2007
13 years 9 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
IJCNN
2008
IEEE
14 years 1 months ago
Cognitive learning and the multimodal memory game: Toward human-level machine learning
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...
Byoung-Tak Zhang
IEAAIE
2011
Springer
12 years 11 months ago
A Computational Model of Habit Learning to Enable Ambient Support for Lifestyle Change
Agent-based applications have the potential to assist humans in their lifestyle change, for instance eliminating addictive behaviours or adopting new healthy behaviours. In order t...
Michel C. A. Klein, Nataliya M. Mogles, Jan Treur,...
ICRA
2007
IEEE
148views Robotics» more  ICRA 2007»
14 years 1 months ago
Seamless Execution of Action Sequences
— One of the most notable and recognizable features of robot motion is the abrupt transitions between actions in action sequences. In contrast, humans and animals perform sequenc...
Freek Stulp, Wolfram Koska, Alexis Maldonado, Mich...
ECAI
2004
Springer
14 years 28 days ago
Avatars That Learn How to Behave
It is possible to model avatars that learn to simulate object manipulations and other complex actions. A number of applications may benefit from this technique including safety, e...
Adam Szarowicz, Paolo Remagnino