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AAAI
2004
15 years 5 months ago
Error Detection and Impact-Sensitive Instance Ranking in Noisy Datasets
Given a noisy dataset, how to locate erroneous instances and attributes and rank suspicious instances based on their impacts on the system performance is an interesting and import...
Xingquan Zhu, Xindong Wu, Ying Yang
TSMC
2008
172views more  TSMC 2008»
15 years 4 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank
ICML
2007
IEEE
16 years 5 months ago
Robust multi-task learning with t-processes
Most current multi-task learning frameworks ignore the robustness issue, which means that the presence of "outlier" tasks may greatly reduce overall system performance. ...
Shipeng Yu, Volker Tresp, Kai Yu
IADIS
2008
15 years 5 months ago
Intelligent Mobile Learning Effort
This paper is a comprehensive presentation of our efforts to support mobile learning. We are developing the Intelligent Mobile Learning System which provides adaptive course and a...
Panagiotis Kalagiakos
AAAI
2012
13 years 6 months ago
Learning Behavior Models for Hybrid Timed Systems
A tailored model of a system is the prerequisite for various analysis tasks, such as anomaly detection, fault identification, or quality assurance. This paper deals with the algo...
Oliver Niggemann, Benno Stein, Asmir Vodencarevic,...