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ICONIP
2009
13 years 5 months ago
HumanBoost: Utilization of Users' Past Trust Decision for Identifying Fraudulent Websites
In this paper, we present an approach that aims to study users' past trust decisions (PTDs) for improving the accuracy of detecting phishing sites. Generally, Web users requir...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ICVS
2009
Springer
13 years 5 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
ALT
2002
Springer
14 years 4 months ago
Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
We describe a new boosting algorithm that is the first such algorithm to be both smooth and adaptive. These two features make possible performance improvements for many learning ...
Dmitry Gavinsky
SAC
2003
ACM
14 years 27 days ago
Improving Image Retrieval Effectiveness in Query-by-Example Environment
Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also ir...
Khanh Vu, Kien A. Hua, Ning Jiang
AAAI
1996
13 years 9 months ago
Bagging, Boosting, and C4.5
Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
J. Ross Quinlan