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 general problem that consists of allocating knowledge consumers to learning producers. Solving this general problem in the field of meta-learning yields solutions for related fields such as information retrieval and recommender systems.

• Type: Conference
• Year: 2006
• Where: AAAI
• Authors: Abraham Bagherjeiran
• Keywords: AAAI 2006, General Problem, Intelligent Agents, Meta-learning Algorithms, Meta-learning Yields Solutions