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JCP
2007
159views more  JCP 2007»
15 years 4 months ago
Authoring of Units of Learning via Dialogue Systems
— Detailed and expressive e-learning specifications like IMS LD [1] are necessary to create efficient e-learning applications. E-learning specifications that meet these demand...
Dietmar Janetzko
DAGSTUHL
2003
15 years 6 months ago
Maximizing Learning Progress: An Internal Reward System for Development
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
Frédéric Kaplan, Pierre-Yves Oudeyer
AAAI
2004
15 years 6 months ago
A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support s...
Tokuro Matsuo, Takayuki Ito, Toramatsu Shintani
TFS
2008
157views more  TFS 2008»
15 years 4 months ago
Efficient Self-Evolving Evolutionary Learning for Neurofuzzy Inference Systems
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
Cheng-Jian Lin, Cheng-Hung Chen, Chin-Teng Lin
EPIA
2009
Springer
15 years 11 months ago
An ILP System for Learning Head Output Connected Predicates
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
José Carlos Almeida Santos, Alireza Tamaddo...