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» A Framework for Multiple-Instance Learning
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149
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AGENTS
1999
Springer
15 years 8 months ago
General Principles of Learning-Based Multi-Agent Systems
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
David Wolpert, Kevin R. Wheeler, Kagan Tumer
162
Voted
CLOR
2006
15 years 7 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
120
Voted
ECCV
2010
Springer
15 years 6 months ago
Learning PDEs for Image Restoration via Optimal Control
Partial differential equations (PDEs) have been successfully applied to many computer vision and image processing problems. However, designing PDEs requires high mathematical skill...
150
Voted
NIPS
2008
15 years 5 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
148
Voted
ETS
2002
IEEE
150views Hardware» more  ETS 2002»
15 years 3 months ago
Assessing group learning and shared understanding in technology-mediated interaction
Without shared understanding, hardly any group learning takes place. Though much has been written about the essence of shared understanding, less is known about how to assess the ...
Ingrid Mulder, Janine Swaak, Joseph Kessels