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ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
PDPTA
2008
13 years 9 months ago
Predicting Web Cache Behavior using Stochastic State-Space Models
Web caches play an important role in improving the surfing experience of Web clients and reducing the network traffic seen by Web servers. Accurate analytical models of Web caches ...
Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar, Ana...
ATAL
2010
Springer
13 years 8 months ago
History-dependent graphical multiagent models
A dynamic model of a multiagent system defines a probability distribution over possible system behaviors over time. Alternative representations for such models present tradeoffs i...
Quang Duong, Michael P. Wellman, Satinder P. Singh...
AAMAS
2010
Springer
13 years 7 months ago
Evolutionary mechanism design: a review
Abstract The advent of large-scale distributed systems poses unique engineering challenges. In open systems such as the internet it is not possible to prescribe the behaviour of al...
Steve Phelps, Peter McBurney, Simon Parsons
ANOR
2010
112views more  ANOR 2010»
13 years 7 months ago
The Multi-Story Space Assignment Problem
-- The Multi-Story Space Assignment Problem (MSAP) is an innovative formulation of the multi-story facility assignment problem that allows one to model the location of departments ...
Peter M. Hahn, J. MacGregor Smith, Yi-Rong Zhu