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ICDAR
2003
IEEE
16 years 3 days ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
ICTAI
2002
IEEE
15 years 11 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies
SIGMOD
2010
ACM
213views Database» more  SIGMOD 2010»
15 years 11 months ago
On active learning of record matching packages
We consider the problem of learning a record matching package (classifier) in an active learning setting. In active learning, the learning algorithm picks the set of examples to ...
Arvind Arasu, Michaela Götz, Raghav Kaushik
RE
2001
Springer
15 years 11 months ago
An Empirical Study of Facilitation of Computer-Mediated Distributed Requirements Negotiations
Group facilitation is an important element of group approaches to Requirements Engineering (RE). The facilitation in ‘traditional’ face-to-face groups is challenged by the inc...
Daniela E. Damian, Mildred L. G. Shaw, Armin Eberl...
INFOVIS
2000
IEEE
15 years 11 months ago
Getting Portals to Behave
Data visualization environments help users understand and analyze their data by permitting interactive browsing of graphical representations of the data. To further facilitate und...
Chris Olston, Allison Woodruff