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IJCNN
2008
IEEE
15 years 10 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
138
Voted
ICDCSW
2005
IEEE
15 years 9 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
ISIPTA
2005
IEEE
140views Mathematics» more  ISIPTA 2005»
15 years 9 months ago
Conservative Rules for Predictive Inference with Incomplete Data
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Marco Zaffalon
141
Voted
INFOVIS
2005
IEEE
15 years 9 months ago
Revealing Structure within Clustered Parallel Coordinates Displays
In order to gain insight into multivariate data, complex structures must be analysed and understood. Parallel coordinates is an excellent tool for visualizing this type of data bu...
Jimmy Johansson, Patric Ljung, Mikael Jern, Matthe...
CIKM
2010
Springer
15 years 2 months ago
Who should I cite: learning literature search models from citation behavior
Scientists depend on literature search to find prior work that is relevant to their research ideas. We introduce a retrieval model for literature search that incorporates a wide ...
Steven Bethard, Dan Jurafsky