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» Structured Sparsity in Structured Prediction
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KDD
2002
ACM
104views Data Mining» more  KDD 2002»
16 years 5 months ago
Generalization Methods in Bioinformatics
Protein secondary structure prediction and high-throughput drug screen data mining are two important applications in bioinformatics. The data is represented in sparse feature spac...
Steven Eschrich, Nitesh V. Chawla, Lawrence O. Hal...
BMCBI
2011
15 years 2 days ago
A quality metric for homology modeling: the H-factor
Background: The analysis of protein structures provides fundamental insight into most biochemical functions and consequently into the cause and possible treatment of diseases. As ...
Eric di Luccio, Patrice Koehl
RECOMB
2005
Springer
16 years 5 months ago
Using Multiple Alignments to Improve Gene Prediction
The multiple species de novo gene prediction problem can be stated as follows: given an alignment of genomic sequences from two or more organisms, predict the location and structur...
Samuel S. Gross, Michael R. Brent
CLUSTER
2006
IEEE
15 years 11 months ago
A Performance Prediction Methodology for Data-dependent Parallel Applications
The increase in the use of parallel distributed architectures in order to solve large-scale scientific problems has generated the need for performance prediction for both determi...
Paula Cecilia Fritzsche, Concepció Roig, An...
KDD
2010
ACM
327views Data Mining» more  KDD 2010»
15 years 9 months ago
Cold start link prediction
In the traditional link prediction problem, a snapshot of a social network is used as a starting point to predict, by means of graph-theoretic measures, the links that are likely ...
Vincent Leroy, Berkant Barla Cambazoglu, Francesco...