Sciweavers

2167 search results - page 28 / 434
» Learning with Drift Detection
Sort
View
ITS
2010
Springer
115views Multimedia» more  ITS 2010»
15 years 2 months ago
In the Zone: Towards Detecting Student Zoning Out Using Supervised Machine Learning
This paper explores automatically detecting student zoning out while performing a spoken learning task. Standard supervised machine learning techniques were used to create classiï¬...
Joanna Drummond, Diane J. Litman
ECBS
2007
IEEE
188views Hardware» more  ECBS 2007»
14 years 11 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...
IJCNN
2000
IEEE
15 years 2 months ago
Applying CMAC-Based On-Line Learning to Intrusion Detection
The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existin...
James Cannady
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...