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JMLR
2008
209views more  JMLR 2008»
15 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
DSS
2007
75views more  DSS 2007»
15 years 4 months ago
Short Term and Total Life Impact analysis of email worms in computer systems
This paper develops a methodology for analyzing and predicting the impact category of malicious code, particularly email worms. The current paper develops two frameworks to classi...
Insu Park, Raj Sharman, H. Raghav Rao, Shambhu J. ...
BIOINFORMATICS
2005
109views more  BIOINFORMATICS 2005»
15 years 4 months ago
Prediction error estimation: a comparison of resampling methods
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
Annette M. Molinaro, Richard Simon, Ruth M. Pfeiff...
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JOT
2007
99views more  JOT 2007»
15 years 4 months ago
A Framework to Specify Declarative Rules on Objects, Attributes and Associations in the Object Model
There are various mechanisms for creating an application object model. These mechanisms are used for modeling the application Meta model and the user models. Some of the mechanism...
C. Anantaram
JOT
2007
102views more  JOT 2007»
15 years 4 months ago
Type Access Analysis: Towards Informed Interface Design
Programs designed from scratch often start with just a set of classes. Classes can be instantiated and so deliver the objects that are the carriers of information and function. In...
Friedrich Steimann, Philip Mayer