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» Informatics olympiads: challenges in programming and algorit...
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JMLR
2012
11 years 10 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
ASAP
1997
IEEE
156views Hardware» more  ASAP 1997»
13 years 11 months ago
Design methodology for digital signal processing
Improvements in semiconductor integration density and the resulting problem of having to manage designs of increasing complexity is an old one, but still current. The new challeng...
Gerhard Fettweis
GECCO
2010
Springer
129views Optimization» more  GECCO 2010»
14 years 8 days ago
A probabilistic functional crossover operator for genetic programming
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
Josh C. Bongard
VLSID
2005
IEEE
167views VLSI» more  VLSID 2005»
14 years 7 months ago
A Methodology and Tooling Enabling Application Specific Processor Design
This paper presents a highly efficient processor design methodology based on the LISA 2.0 language. Typically the architecture design phase is dominated by an iterative processor ...
Andreas Hoffmann, Frank Fiedler, Achim Nohl, Suren...
BIOINFORMATICS
2007
76views more  BIOINFORMATICS 2007»
13 years 7 months ago
Optimization of primer design for the detection of variable genomic lesions in cancer
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...