Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems

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Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems

Meeting scheduling is a distributed, tedious and time-consuming task in an organization which involves several individual in different location. The preferences and calendar availability of each individual are vary and treated as private information that unlikely to share with other individuals....

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Bibliographic Details
Main Author:	Tang, En Lai
Format:	Thesis
Language:	English
Published:	2007
Subjects:	Multiagent systems Back propagation (Artificial intelligence) Neural networks (Computer science)
Online Access:	http://psasir.upm.edu.my/id/eprint/5218/ http://psasir.upm.edu.my/id/eprint/5218/1/FSKTM_2007_19.pdf

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