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IJON
2007
131views more  IJON 2007»
15 years 3 months ago
Margin-based active learning for LVQ networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
IJON
2010
140views more  IJON 2010»
15 years 1 months ago
Multi-task preference learning with an application to hearing aid personalization
We present an EM-algorithm for the problem of learning preferences with Gaussian processes in the context of multi-task learning. We validate our approach on an audiological data ...
Adriana Birlutiu, Perry Groot, Tom Heskes
150
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ICML
2000
IEEE
16 years 4 months ago
Hierarchical Unsupervised Learning
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
Shivakumar Vaithyanathan, Byron Dom
NIPS
2003
15 years 4 months ago
All learning is Local: Multi-agent Learning in Global Reward Games
In large multiagent games, partial observability, coordination, and credit assignment persistently plague attempts to design good learning algorithms. We provide a simple and efï¬...
Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling
IMSA
2001
121views Multimedia» more  IMSA 2001»
15 years 4 months ago
Technology Integrated Learning Environment - A Web-based Distance Learning System
This paper analyses the requirements of a third-generation technology integrated learning environment. The architecture proposed is analysed in terms of the generic constraints of...
Regina Gehne, Chris R. Jesshope, Zhenzi Zhang