416 search results - page 35 / 84 » Modeling Input Validation in UML |
ATVA
2010
Springer
13 years 5 months ago
2010
Springer
: Narrowing the wide conceptual gap between problem and implementation domains is considered a significant factor within software engineering. Currently, such a relation is often o...
NIPS
2007
13 years 9 months ago
2007
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
TOG
2012
11 years 10 months ago
2012
ike abstraction of the yarn model; (c) then, we specify the desired knitting pattern over the stitch mesh’s surface. (d) Following the interactive modeling process, the model goe...
ANSS
2003
IEEE
14 years 1 months ago
2003
IEEE
In this work, we present a computational behavioral model for logic gates called Internode (Internal Node Logic Computational Model) that considers the functionality of the gate a...
EAAI
2006
13 years 7 months ago
2006
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...