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KI
2008
Springer
15 years 4 months ago
Learning Dance Movements by Imitation: A Multiple Model Approach
Abstract. Imitation learning is an intuitive and easy way of programming robots. Instead of specifying motor commands, you simply show the robot what to do. This paper presents a m...
Axel Tidemann, Pinar Öztürk
ICIP
2001
IEEE
16 years 6 months ago
An evolving localised learning model for on-line image colour quantisation
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the ...
Da Deng, Nikola K. Kasabov
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 5 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
AIED
2009
Springer
15 years 11 months ago
Using Task-Based Modeling to Generate Scaffolding in Narrative-Guided Exploratory Learning Environments
Abstract. A description of a novel domain-independent framework that automatically generates and fades scaffolding supports for task-oriented learning within exploratory environmen...
James M. Thomas, R. Michael Young
JMLR
2002
111views more  JMLR 2002»
15 years 4 months ago
The Learning-Curve Sampling Method Applied to Model-Based Clustering
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
Christopher Meek, Bo Thiesson, David Heckerman