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AI
1999
Springer
15 years 4 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
ECTEL
2007
Springer
15 years 11 months ago
Resolving Variations in Learning Spaces for Experiential Learning
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
Eric Ras
155
Voted
NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 6 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
132
Voted
PUC
2006
128views more  PUC 2006»
15 years 4 months ago
A cube to learn: a tangible user interface for the design of a learning appliance
In this paper we introduce the design and development of the Learning Cube as a novel tangible learning appliance. Using the common shape of a cube we implemented a general learnin...
Lucia Terrenghi, Matthias Kranz, Paul Holleis, Alb...
157
Voted
JOT
2010
124views more  JOT 2010»
15 years 3 months ago
Improving Learning Object Reuse Through OOD: A Theory of Learning Objects
The concept of a learning object (LO) has spread quickly without a very specific universal definition, and though born originally from the idea of object oriented design, with a ...
Claudine A. Allen, Ezra K. Mugisa