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TARK
1998
Springer
15 years 11 months ago
The Learning Power of Belief Revision
Belief revision theory aims to describe how one should change one's beliefs when they are contradicted by newly input information. The guiding principle of belief revision th...
Kevin T. Kelly
MMS
2007
15 years 8 months ago
Standards for Ambient Learning Environments
: The integration of information systems is not a new challenge. As one instrument, standards provide interfaces for integrated information systems. With regard to the recent adven...
Markus Bick, Tyge Kummer, Jan M. Pawlowski, Patric...
AAAI
1996
15 years 8 months ago
Sequential Inductive Learning
This article advocates a new model for inductive learning. Called sequential induction, it helps bridge classical fixed-sample learning techniques (which are efficient but difficu...
Jonathan Gratch
ICCV
2007
IEEE
16 years 8 months ago
What Can Casual Walkers Tell Us About A 3D Scene?
An approach for incremental learning of a 3D scene from a single static video camera is presented in this paper. In particular, we exploit the presence of casual people walking in...
Diego Rother, Kedar A. Patwardhan, Guillermo Sapir...
ML
1998
ACM
101views Machine Learning» more  ML 1998»
15 years 6 months ago
Elevator Group Control Using Multiple Reinforcement Learning Agents
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
Robert H. Crites, Andrew G. Barto