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TNN
2010
234views Management» more  TNN 2010»
14 years 11 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
BMCBI
2011
14 years 10 months ago
PhyloSim - Monte Carlo simulation of sequence evolution in the R statistical computing environment
Background: The Monte Carlo simulation of sequence evolution is routinely used to assess the performance of phylogenetic inference methods and sequence alignment algorithms. Progr...
Botond Sipos, Tim Massingham, Gregory E. Jordan, N...
ICALP
2009
Springer
16 years 4 months ago
LTL Path Checking Is Efficiently Parallelizable
We present an AC1 (logDCFL) algorithm for checking LTL formulas over finite paths, thus establishing that the problem can be efficiently parallelized. Our construction provides a f...
Lars Kuhtz, Bernd Finkbeiner
POPL
2010
ACM
16 years 1 months ago
Compositional May-Must Program Analysis: Unleashing the Power of Alternation
Program analysis tools typically compute two types of information: (1) may information that is true of all program executions and is used to prove the absence of bugs in the progr...
Aditya V. Nori, Patrice Godefroid, SaiDeep Tetali,...
WCRE
2009
IEEE
15 years 11 months ago
An Exploratory Study of the Impact of Code Smells on Software Change-proneness
—Code smells are poor implementation choices, thought to make object-oriented systems hard to maintain. In this study, we investigate if classes with code smells are more change-...
Foutse Khomh, Massimiliano Di Penta, Yann-Gaë...