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» Learning Rules and Their Exceptions
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SBRN
1998
IEEE
15 years 7 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
127
Voted
VW
1998
Springer
174views Virtual Reality» more  VW 1998»
15 years 7 months ago
ALife Meets Web: Lessons Learned
Arti cial life might come to play important roles for the World Wide Web, both as a source of new algorithmic paradigms and as a source of inspiration for its future development. N...
Luigi Pagliarini, Ariel Dolan, Filippo Menczer, He...
ICAIL
2007
ACM
15 years 7 months ago
Learning by diagramming Supreme Court oral arguments
This paper describes an intelligent tutoring system, LARGO, that helps students learn skills of legal reasoning with hypotheticals by analyzing oral arguments before the US Suprem...
Kevin D. Ashley, Niels Pinkwart, Collin Lynch, Vin...
ACL
2006
15 years 4 months ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...
126
Voted
FLAIRS
2006
15 years 4 months ago
Machine Learning for Imbalanced Datasets: Application in Medical Diagnostic
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
Luis Mena, Jesus A. Gonzalez