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IFIP12
2008
15 years 8 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
ATAL
2009
Springer
16 years 1 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom
ACMICEC
2003
ACM
144views ECommerce» more  ACMICEC 2003»
16 years 1 days ago
Security model for a multi-agent marketplace
A multi-agent marketplace, MAGNET (Multi AGent Negotiation Testbed), is a promising solution to conduct online combinatorial auctions. The trust model of MAGNET is somewhat diffe...
Ashutosh Jaiswal, Yongdae Kim, Maria L. Gini
GI
2009
Springer
15 years 4 months ago
An Adaptative Framework for Tracking Web-based Learning Environments
: Collecting and sharing attention information represents a main concern within the Technology Enhanced Learning community, as the number of works or projects related to this topic...
Valentin Butoianu, Philippe Vidal, Julien Broisin
ACSC
2008
IEEE
16 years 1 months ago
Relative simulation and model checking of real-time processes
Simulation and model checking are commonly used to compare the behaviour of a computer-based system with its requirements specification. However, when upgrading an operational le...
Colin J. Fidge