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AGENTS
2000
Springer
15 years 8 months ago
A knowledge-based approach for designing intelligent team training systems
This paper presents a knowledge approach to designing team training systems using intelligent agents. We envision a computer-based training system in which teams are trained by pu...
Jianwen Yin, Michael S. Miller, Thomas R. Ioerger,...
SIGCSE
2005
ACM
147views Education» more  SIGCSE 2005»
15 years 9 months ago
Automated tutoring for a database skills training environment
Universities are increasingly offering courses online. Feedback, assessment, and guidance are important features of this online courseware. Together, in the absence of a human tut...
Claire Kenny, Claus Pahl
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
15 years 8 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
COLING
1996
15 years 5 months ago
FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
Finn Dag Buø, Alex Waibel
IJCNN
2007
IEEE
15 years 10 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot