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» Problems of learning in multi-agent systems
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ICRA
2010
IEEE
177views Robotics» more  ICRA 2010»
15 years 2 months ago
Fusion of laser and vision for multiple targets tracking via on-line learning
— Multi-target tracking becomes significantly more challenging when the targets are in close proximity or frequently interact with each other. This paper presents a promising tr...
Xuan Song, Huijing Zhao, Jinshi Cui, Xiaowei Shao,...
ICML
2009
IEEE
16 years 5 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
ICCBR
2005
Springer
15 years 10 months ago
Evaluating the Effectiveness of Exploration and Accumulated Experience in Automatic Case Elicitation
Non-learning problem solvers have been applied to many interesting and complex domains. Experience-based learning techniques have been developed to augment the capabilities of cert...
Jay H. Powell, Brandon M. Hauff, John D. Hastings
GECCO
2007
Springer
191views Optimization» more  GECCO 2007»
15 years 10 months ago
An artificial immune system with partially specified antibodies
Artificial Immune System algorithms use antibodies which fully specify the solution of an optimization, learning, or pattern recognition problem. By being restricted to fully spec...
Ramin Halavati, Saeed Bagheri Shouraki, Mojdeh Jal...
CORR
2002
Springer
132views Education» more  CORR 2002»
15 years 4 months ago
Exploiting Synergy Between Ontologies and Recommender Systems
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Stuart E. Middleton, Harith Alani, David De Roure