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» Learning Approximate Consistencies
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EMNLP
2006
15 years 8 months ago
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging
We propose a conditional random fieldbased method for supertagging, and apply it to the task of learning new lexical items for HPSG-based precision grammars of English and Japanes...
Phil Blunsom, Timothy Baldwin
COLT
2010
Springer
15 years 5 months ago
Principal Component Analysis with Contaminated Data: The High Dimensional Case
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
Huan Xu, Constantine Caramanis, Shie Mannor
CHI
2007
ACM
16 years 7 months ago
A theory-based approach to designing student learning context
How can we keep technology-focused computing and software engineering students interested and engaged in a soft subject like HCI? How can we avoid leaving the less gifted and less...
Jarinee Chattratichart
ALT
2001
Springer
16 years 4 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
16 years 1 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...