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179
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ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
15 years 5 months ago
Behavior Analysis-Based Learning Framework for Host Level Intrusion Detection
Machine learning has great utility within the context of network intrusion detection systems. In this paper, a behavior analysis-based learning framework for host level network in...
Haiyan Qiao, Jianfeng Peng, Chuan Feng, Jerzy W. R...
123
Voted
GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 7 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
117
Voted
IUI
1999
ACM
15 years 8 months ago
Programming by Demonstration: An Inductive Learning Formulation
Although Programming by Demonstration (PBD) has the potential to improve the productivity of unsophisticated users, previous PBD systems have used brittle, heuristic, domain-speci...
Tessa A. Lau, Daniel S. Weld
120
Voted
ICALT
2005
IEEE
15 years 9 months ago
Integrating Wireless Technology in Pocket Electronic Dictionary to Enhance Language Learning
We believe that with regard to the information technology applications in education, one student one computing device will be the future and long-term trend. Many related studies ...
Jen-Kai Liang, Tzu-Chien Liu, Hsue-Yie Wang, Tak-W...
128
Voted
ICDM
2009
IEEE
200views Data Mining» more  ICDM 2009»
15 years 1 months ago
Improving SVM Classification on Imbalanced Data Sets in Distance Spaces
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
Suzan Koknar-Tezel, Longin Jan Latecki