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» An Approach to use Executable Models for Testing
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SIGMOD
2011
ACM
250views Database» more  SIGMOD 2011»
12 years 11 months ago
Hybrid in-database inference for declarative information extraction
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
Daisy Zhe Wang, Michael J. Franklin, Minos N. Garo...
ICML
2002
IEEE
14 years 9 months ago
Learning the Kernel Matrix with Semi-Definite Programming
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
Gert R. G. Lanckriet, Nello Cristianini, Peter L. ...
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
14 years 9 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
JSW
2007
102views more  JSW 2007»
13 years 8 months ago
Model-driven Engineering for Early QoS Validation of Component-based Software Systems
— Model-driven engineering (MDE) techniques are increasingly being used to address many of the development and operational lifecycle concerns of large-scale component-based syste...
James H. Hill, Aniruddha S. Gokhale
BMCBI
2007
101views more  BMCBI 2007»
13 years 9 months ago
Statistical validation of megavariate effects in ASCA
Background: Innovative extensions of (M) ANOVA gain common ground for the analysis of designed metabolomics experiments. ASCA is such a multivariate analysis method; it has succes...
Daniel J. Vis, Johan A. Westerhuis, Age K. Smilde,...