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IEEEVAST
2010
13 years 2 months ago
A visual analytics approach to model learning
The process of learning models from raw data typically requires a substantial amount of user input during the model initialization phase. We present an assistive visualization sys...
Supriya Garg, I. V. Ramakrishnan, Klaus Mueller
NLPRS
2001
Springer
14 years 10 days ago
A Bayesian Approach to Semi-Supervised Learning
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Rebecca F. Bruce
CVPR
2008
IEEE
14 years 10 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
BC
2002
108views more  BC 2002»
13 years 7 months ago
Spike-timing-dependent plasticity: common themes and divergent vistas
Abstract. Recent experimental observations of spiketiming-dependent synaptic plasticity (STDP) have revitalized the study of synaptic learning rules. The most surprising aspect of ...
Ádám Kepecs, Mark C. W. van Rossum, ...
AAMAS
2004
Springer
13 years 7 months ago
Autonomous Agents that Learn to Better Coordinate
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This coordination problem is both ubiquitous and challenging,...
Andrew Garland, Richard Alterman