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» General Game Learning Using Knowledge Transfer
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AIM
2011
12 years 11 months ago
Transfer Learning by Reusing Structured Knowledge
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
Qiang Yang, Vincent Wenchen Zheng, Bin Li, Hankz H...
HICSS
2006
IEEE
144views Biometrics» more  HICSS 2006»
14 years 1 months ago
Knowledge Transfer: Short-Circuiting the Learning Cycle?
Knowledge is considered to be a key organizational resource in the 21st century and the knowledge management ‘movement’ has alerted organizations to the fact that they should ...
Sue Newell, Robert D. Galliers
ECML
2007
Springer
14 years 2 months ago
Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
In this paper we investigate the relation between transfer learning in reinforcement learning with function approximation and supervised learning with concept drift. We present a n...
Jan Ramon, Kurt Driessens, Tom Croonenborghs
EDM
2009
179views Data Mining» more  EDM 2009»
13 years 5 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...
AAAI
2006
13 years 9 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran