1183 search results - page 34 / 237 » Learning Process Models with Missing Data |
ECIS
2000
15 years 2 months ago
2000
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
WSC
2008
15 years 3 months ago
2008
Discrete event simulation (DES) projects rely heavily on high input data quality. Therefore, the input data management process is very important and, thus, consumes an extensive a...
100
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KDD
2000
ACM
15 years 5 months ago
2000
ACM
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
In this paper we present a collaborative system designed to develop problem solving skills in learners through problemcentric exercises. This system is part of a data collection s...
118
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ICIP
2001
IEEE
16 years 3 months ago
2001
IEEE
Although widely studied for many years, colour quantisation remains a practical problem in image processing. Unlike previous works where the image can only be quantised after the ...