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» How Common Random Numbers Affect Multinomial Selection
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GECCO
2010
Springer
155views Optimization» more  GECCO 2010»
13 years 10 months ago
Negative selection algorithms without generating detectors
Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Maciej Liskiewicz, Johannes Textor
SIGMOD
2008
ACM
142views Database» more  SIGMOD 2008»
14 years 5 months ago
Cost-based variable-length-gram selection for string collections to support approximate queries efficiently
Approximate queries on a collection of strings are important in many applications such as record linkage, spell checking, and Web search, where inconsistencies and errors exist in...
Xiaochun Yang, Bin Wang, Chen Li
FDTC
2011
Springer
267views Cryptology» more  FDTC 2011»
12 years 5 months ago
An In-depth and Black-box Characterization of the Effects of Clock Glitches on 8-bit MCUs
Abstract—The literature about fault analysis typically describes fault injection mechanisms, e.g. glitches and lasers, and cryptanalytic techniques to exploit faults based on som...
Josep Balasch, Benedikt Gierlichs, Ingrid Verbauwh...
BMCBI
2006
200views more  BMCBI 2006»
13 years 5 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
ECCV
2006
Springer
14 years 7 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...