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» A Theory for Memory-Based Learning
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NIPS
1994
15 years 7 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
ICML
2010
IEEE
15 years 7 months ago
Supervised Aggregation of Classifiers using Artificial Prediction Markets
Prediction markets are used in real life to predict outcomes of interest such as presidential elections. In this work we introduce a mathematical theory for Artificial Prediction ...
Nathan Lay, Adrian Barbu
CONNECTION
2006
91views more  CONNECTION 2006»
15 years 6 months ago
From unknown sensors and actuators to actions grounded in sensorimotor perceptions
This article describes a developmental system based on information theory implemented on a real robot that learns a model of its own sensory and actuator apparatus. There is no in...
Lars Olsson, Chrystopher L. Nehaniv, Daniel Polani
JUCS
2007
86views more  JUCS 2007»
15 years 6 months ago
Improving LO Quality through Instructional Design Based on an Ontological Model and Metadata
: The activities developed in this paper were aimed at providing an awareness of the elements that should be considered in quality learning objects instructional design for elearni...
Erla Morales Morgado, Francisco José Garc&i...
AROBOTS
1998
111views more  AROBOTS 1998»
15 years 6 months ago
Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction
This paper discusses the emergence of sensorimotor coordination for ESCHeR, a 4DOF redundant foveated robot-head, by interaction with its environment. A feedback-error-learning(FEL...
Luc Berthouze, Yasuo Kuniyoshi