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» A Framework for Multiple-Instance Learning
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FLAIRS
2008
15 years 5 months ago
Distance Metric Learning for Conditional Anomaly Detection
Anomaly detection methods can be very useful in identifying unusual or interesting patterns in data. A recently proposed conditional anomaly detection framework extends anomaly de...
Michal Valko, Milos Hauskrecht
128
Voted
ETS
2002
IEEE
139views Hardware» more  ETS 2002»
15 years 2 months ago
Integrating technology into learning and working: A promising future
In this concluding synthesis article, I summarize and discuss the papers that comprise both parts of this special issues. Two organizing frameworks are provided to facilitate read...
Xuemei Wang
105
Voted
RE
2010
Springer
14 years 9 months ago
Domain Engineering with Event-B: Some Lessons We Learned
Domain modeling is an important aspect of software engineering. This paper presents our experience of modeling land transportation domain in the formal framework of Event-B. The do...
Atif Mashkoor, Jean-Pierre Jacquot
TASE
2008
IEEE
15 years 2 months ago
Optimization of Joint Replacement Policies for Multipart Systems by a Rollout Framework
Maintaining an asset with life-limited parts, e.g., a jet engine or an electric generator, may be costly. Certain costs, e.g., setup cost, can be shared if some parts of the asset ...
Tao Sun, Qianchuan Zhao, Peter B. Luh, Robert N. T...
318
Voted
INFOCOM
2012
IEEE
13 years 5 months ago
Di-Sec: A distributed security framework for heterogeneous Wireless Sensor Networks
Wireless Sensor Networks (WSNs) are no longer a nascent technology and today, they are actively deployed as a viable technology in many diverse application domains such as health ...
Marco Valero, Sang Shin Jung, A. Selcuk Uluagac, Y...