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» A Comparative Evaluation of Name-Matching Algorithms
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DCOSS
2006
Springer
13 years 11 months ago
The Robustness of Localization Algorithms to Signal Strength Attacks: A Comparative Study
In this paper, we examine several localization algorithms and evaluate their robustness to attacks where an adversary attenuates or amplifies the signal strength at one or more lan...
Yingying Chen, Konstantinos Kleisouris, Xiaoyan Li...
ATAL
2005
Springer
14 years 1 months ago
A comparative evaluation of agent location mechanisms in large scale MAS
Agents in open multi-agent systems (MAS) need means for locating other agents with which they may collaborate. To address this need, several agent location mechanisms were suggest...
David Ben-Ami, Onn Shehory
AGI
2011
12 years 11 months ago
Comparing Humans and AI Agents
Comparing humans and machines is one important source of information about both machine and human strengths and limitations. Most of these comparisons and competitions are performe...
Javier Insa-Cabrera, David L. Dowe, Sergio Espa&nt...
ISDA
2010
IEEE
13 years 5 months ago
Comparing SVM ensembles for imbalanced datasets
Real life datasets often suffer from the problem of class imbalance, which thwarts supervised learning process. In such data sets examples of positive (minority) class are signific...
Vasudha Bhatnagar, Manju Bhardwaj, Ashish Mahabal
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 4 months ago
Comparing Prediction Market Structures, With an Application to Market Making
Ensuring sufficient liquidity is one of the key challenges for designers of prediction markets. Various market making algorithms have been proposed in the literature and deployed ...
Aseem Brahma, Sanmay Das, Malik Magdon-Ismail