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» Invisible Learning in Online Systems
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ICAI
2008
13 years 10 months ago
Online Boosting Based Intrusion Detection in Changing Environments
Intrusion detection is an active research field in the development of reliable web-based information systems, where many artificial intelligence techniques are exploited to fit th...
Yanguo Wang, Weiming Hu, Xiaoqin Zhang
ATAL
2008
Springer
13 years 10 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
PAKDD
2005
ACM
133views Data Mining» more  PAKDD 2005»
14 years 2 months ago
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning
This paper proposes a novel anomaly detection system for spacecrafts based on data mining techniques. It constructs a nonlinear probabilistic model w.r.t. behavior of a spacecraft ...
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
SIGCSE
2005
ACM
366views Education» more  SIGCSE 2005»
14 years 2 months ago
Using asynchronous discussions to enhance student participation in CS courses
As Computer Science (CS) educators, we are involved in teaching a variety of undergraduate and graduate courses such as database management systems, networking, software developme...
Bhagyavati, Stan Kurkovsky, Christopher C. Whitehe...
ML
2010
ACM
135views Machine Learning» more  ML 2010»
13 years 3 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer