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» Evaluating algorithms that learn from data streams
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KCAP
2009
ACM
16 years 2 months ago
Knowledge integration across multiple texts
One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a...
Doo Soon Kim, Ken Barker, Bruce W. Porter
ECML
2007
Springer
15 years 11 months ago
User Oriented Hierarchical Information Organization and Retrieval
Abstract. In order to organize huge document collections, labeled hierarchical structures are used frequently. Users are most efficient in navigating such hierarchies, if they refl...
Korinna Bade, Marcel Hermkes, Andreas Nürnber...
CLOR
2006
15 years 11 months ago
Dataset Issues in Object Recognition
Appropriate datasets are required at all stages of object recognition research, including learning visual models of object and scene categories, detecting and localizing instances ...
Jean Ponce, Tamara L. Berg, Mark Everingham, David...
EVOW
2008
Springer
15 years 9 months ago
Artificial Creatures for Object Tracking and Segmentation
We present a study on the use of soft computing techniques for object tracking/segmentation in surveillance video clips. A number of artificial creatures, conceptually, "inhab...
Luca Mussi, Stefano Cagnoni
ESANN
2004
15 years 9 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom