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ACL
2012
13 years 6 days ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
ICANN
2001
Springer
15 years 2 months ago
The Importance of Representing Cognitive Processes in Multi-agent Models
We distinguish between two main types of model: predictive and explanatory. It is argued (in the absence of models that predict on unseen data) that in order for a model to increas...
Bruce Edmonds, Scott Moss
AI
1999
Springer
14 years 9 months ago
Introspective Multistrategy Learning: On the Construction of Learning Strategies
A central problem in multistrategy learning systems is the selection and sequencing of machine learning algorithms for particular situations. This is typically done by the system ...
Michael T. Cox, Ashwin Ram
ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
14 years 8 months ago
Human-guided grasp measures improve grasp robustness on physical robot
— Humans are adept at grasping different objects robustly for different tasks. Robotic grasping has made significant progress, but still has not reached the level of robustness ...
Ravi Balasubramanian, Ling Xu, Peter D. Brook, Jos...
ML
2010
ACM
210views Machine Learning» more  ML 2010»
14 years 8 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...