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» Methods for Dynamic Classifier Selection
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ESAW
2004
Springer
14 years 3 months ago
Motivation-Based Selection of Negotiation Opponents
Abstract. If we are to enable agents to handle increasingly greater levels of complexity, it is necessary to equip them with mechanisms that support greater degrees of autonomy. Th...
Stephen J. Munroe, Michael Luck
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
12 years 10 months ago
Trust-Based Selection of Partners
The community of multi-agent systems has been studying ways to improve the selection of partner agents for joint action. One of such approaches consists in estimating the trustwort...
Joana Urbano, Ana Paula Rocha, Eugénio C. O...
CEC
2005
IEEE
14 years 2 days ago
Graph composition in a graph grammar-based method for automata network evolution
The dynamics of neural and other automata networks are defined to a large extent by their topologies. Artificial evolution constitutes a practical means by which an optimal topolog...
Martin H. Luerssen, David M. W. Powers
ICCV
2009
IEEE
13 years 7 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
AAAI
1997
13 years 11 months ago
Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
Milos Hauskrecht