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SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
13 years 10 months ago
Large-Scale Many-Class Learning
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
Omid Madani, Michael Connor
UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ATAL
2010
Springer
13 years 9 months ago
Resource-bounded alternating-time temporal logic
Many problems in AI and multi-agent systems research are most naturally formulated in terms of the abilities of a coalition of agents. There exist several excellent logical tools ...
Natasha Alechina, Brian Logan, Nguyen Hoang Nga, A...
ATAL
2010
Springer
13 years 9 months ago
Strategic executions of choreographed timed normative multi-agent systems
This paper proposes a combined mechanism for coordinating agents in timed normative multi-agent systems. Timing constraints in a multi-agent system make it possible to force actio...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
ATAL
2010
Springer
13 years 9 months ago
Intelligent agents for the smart grid
The Intelligent Decentralised Energy-Aware Systems (iDEaS) project at the University of Southampton (see www.ideasproject.info) is developing and demonstrating the application of ...
Perukrishnen Vytelingum, Thomas Voice, Sarvapali D...