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» Learning Abstraction Hierarchies for Problem Solving
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ECML
2007
Springer
14 years 2 months ago
Principal Component Analysis for Large Scale Problems with Lots of Missing Values
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
Tapani Raiko, Alexander Ilin, Juha Karhunen
JAIR
2007
124views more  JAIR 2007»
13 years 8 months ago
Closed-Loop Learning of Visual Control Policies
In this paper we present a general, flexible framework for learning mappings from images to actions by interacting with the environment. The basic idea is to introduce a feature-...
Sébastien Jodogne, Justus H. Piater
IJCAI
1989
13 years 9 months ago
Learning to Diagnose by Doing
This paper is a study on the process of evolution of a novice to an expert in a diagnostic context. In er, we have chosen an abstract example of a diagnostic problem. The results ...
Jayant Kalagnanam, Eswaran Subrahmanian
ICWL
2007
Springer
14 years 2 months ago
Structured Blended Learning Implementation for an Open Learning Environment
Abstract. This paper proposes a structured blended learning for providing elearning strategies adopted by the Open University of Hong Kong (OUHK). The paper identified the factors ...
Jason K. Y. Chan, Ken C. K. Law
AAAI
1994
13 years 10 months ago
Improving Learning Performance Through Rational Resource Allocation
This article shows how rational analysis can be used to minimize learning cost for a general class of statistical learning problems. We discuss the factors that influence learning...
Jonathan Gratch, Steve A. Chien, Gerald DeJong