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» Improving Adaptive Bagging Methods for Evolving Data Streams
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PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 5 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet
RAID
2009
Springer
14 years 1 months ago
Autonomic Intrusion Detection System
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
Wei Wang 0012, Thomas Guyet, Svein J. Knapskog
IROS
2008
IEEE
151views Robotics» more  IROS 2008»
14 years 1 months ago
A performance sensitive hormone-inspired system for task distribution amongst evolving robots
— A hormone-inspired task scheduling method is described which assigns tasks to a group of robots, taking into account the robots’ performances. This method draws on previous w...
Joanne H. Walker, Myra S. Wilson
DIS
2009
Springer
14 years 1 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
EUROPAR
2009
Springer
14 years 1 months ago
Adaptive Parallel Householder Bidiagonalization
With the increasing use of large image and video archives and high-resolution multimedia data streams in many of today’s research and application areas, there is a growing need f...
Fangbin Liu, Frank J. Seinstra