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» Sample Spaces and Feature Models: There and Back Again
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ER
2007
Springer
88views Database» more  ER 2007»
13 years 11 months ago
Teaching a Schema Translator to Produce O/R Views
This paper describes a rule-based algorithm to derive a relational schema from an extended entity-relationship model. Our work is based on an approach by Atzeni and Torlone in whic...
Peter Mork, Philip A. Bernstein, Sergey Melnik
BMCBI
2008
131views more  BMCBI 2008»
13 years 5 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
SAC
2006
ACM
13 years 10 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
BMCBI
2010
117views more  BMCBI 2010»
13 years 5 months ago
Beyond rotamers: a generative, probabilistic model of side chains in proteins
Background: Accurately covering the conformational space of amino acid side chains is essential for important applications such as protein design, docking and high resolution stru...
Tim Harder, Wouter Boomsma, Martin Paluszewski, Je...
STOC
1997
ACM
125views Algorithms» more  STOC 1997»
13 years 9 months ago
An Interruptible Algorithm for Perfect Sampling via Markov Chains
For a large class of examples arising in statistical physics known as attractive spin systems (e.g., the Ising model), one seeks to sample from a probability distribution π on an...
James Allen Fill