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» A Simple Abstraction for Data Modeling
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IDA
2009
Springer
16 years 26 days ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
PR
2010
147views more  PR 2010»
15 years 4 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani
ICSE
2012
IEEE-ACM
13 years 8 months ago
A bidirectional model-driven spreadsheet environment
Abstract—In this extended abstract we present a bidirectional model-driven framework to develop spreadsheets. By being model driven, our approach allows to evolve a spreadsheet m...
Jácome Cunha, João Paulo Fernandes, ...
ICSE
2007
IEEE-ACM
16 years 6 months ago
A Data Model to Support End User Software Engineering
Many end user programming tools such as spreadsheets and databases offer poor support for representing a level of abstraction that is intuitive to users. For example, users must w...
Christopher Scaffidi
JAR
2008
89views more  JAR 2008»
15 years 6 months ago
An Extensible Encoding of Object-oriented Data Models in hol
Abstract We present an extensible encoding of object-oriented data models into higherorder logic (HOL). Our encoding is supported by a datatype package that leverages the use of th...
Achim D. Brucker, Burkhart Wolff