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CVPR
2011
IEEE
15 years 5 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
COLING
2010
15 years 2 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
FORTE
2011
14 years 11 months ago
Analyzing BGP Instances in Maude
Analyzing Border Gateway Protocol (BGP) instances is a crucial step in the design and implementation of safe BGP systems. Today, the analysis is a manual and tedious process. Resea...
Anduo Wang, Carolyn L. Talcott, Limin Jia, Boon Th...
IJCGT
2011
112views more  IJCGT 2011»
14 years 11 months ago
Tactical Agent Personality
This paper proposes an automatic model-based approach that enables adaptive decision making in modern virtual games. It builds upon the Integrated MDP and POMDP Learning AgeNT (IM...
Chek Tien Tan, Ho-Lun Cheng
MATES
2004
Springer
16 years 27 days ago
From Modeling to Simulation of Multi-agent Systems: An Integrated Approach and a Case Study
Abstract. In this paper, an integrated approach for the modeling and the validation through simulation of multi-agent systems is proposed. The approach centers on the instantiation...
Giancarlo Fortino, Alfredo Garro, Wilma Russo