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» Learning Business Process Models: A Case Study
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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 6 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
JSW
2007
126views more  JSW 2007»
15 years 6 months ago
Supporting UML Sequence Diagrams with a Processor Net Approach
— UML sequence diagrams focus on the interaction between different classes. For distributed real time transaction processing it is possible to end up with complex sequence diagra...
Tony Spiteri Staines
RECSYS
2009
ACM
16 years 19 days ago
Improving rating estimation in recommender systems using aggregation- and variance-based hierarchical models
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
Akhmed Umyarov, Alexander Tuzhilin
JMLR
2010
144views more  JMLR 2010»
15 years 28 days ago
Practical Approaches to Principal Component Analysis in the Presence of Missing Values
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
Alexander Ilin, Tapani Raiko
179
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FSEN
2009
Springer
15 years 10 months ago
Specification and Validation of Behavioural Protocols in the rCOS Modeler
The rCOS modeler implements the requirements modelling phase of a model driven component-based software engineering process. Components are specified in rCOS, a relational calculus...
Zhenbang Chen, Charles Morisset, Volker Stolz