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ICONIP
2008
15 years 8 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
ICSE
2007
IEEE-ACM
16 years 6 months ago
A Technique for Enabling and Supporting Debugging of Field Failures
It is difficult to fully assess the quality of software inhouse, outside the actual time and context in which it will execute after deployment. As a result, it is common for softw...
James A. Clause, Alessandro Orso
ECML
2004
Springer
15 years 12 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
VL
1996
IEEE
120views Visual Languages» more  VL 1996»
15 years 10 months ago
Visual Language Features Supporting Human-Human and Human-Computer Communication
Fundamental to the design of visual languages are the goals of facilitating communication between people and computers, and between people and other people. The Object Block Progr...
Jason E. Robbins, David J. Morley, David F. Redmil...
CVPR
2006
IEEE
15 years 10 months ago
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning
In region-based image annotation, keywords are usually associated with images instead of individual regions in the training data set. This poses a major challenge for any learning...
Changbo Yang, Ming Dong, Jing Hua