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» Semi-supervised Learning from General Unlabeled Data
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ICDAR
2003
IEEE
15 years 7 months 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
INTERACTION
2009
ACM
15 years 6 months ago
RoboEarth: connecting robots worldwide
In this paper, we present the core concept and the benefits of an approach called RoboEarth which will be highly beneficial for future robotic applications in science and industry...
Oliver Zweigle, René van de Molengraft, Raf...
ISCA
1997
IEEE
137views Hardware» more  ISCA 1997»
15 years 6 months ago
A Language for Describing Predictors and Its Application to Automatic Synthesis
As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively ha...
Joel S. Emer, Nicholas C. Gloy
ATAL
2007
Springer
15 years 5 months ago
Reputation in the joint venture game
In many settings, agents need to identify competent partners to assist them in accomplishing tasks. Direct experience may not provide sufficient data to learn the competence of ot...
Philip Hendrix, Barbara J. Grosz
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
15 years 5 months ago
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification
Within the last two decades, Receiver Operating Characteristic (ROC) Curves have become a standard tool for the analysis and comparison of classifiers since they provide a conveni...
Stephan M. Winkler, Michael Affenzeller, Stefan Wa...