595 search results - page 55 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
170
Voted
CIKM
2009
Springer
15 years 11 months ago
2009
Springer
Mining feedback information from user click-through data is an important issue for modern Web retrieval systems in terms of architecture analysis, performance evaluation and algor...
188
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ICANN
2010
Springer
15 years 2 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
123
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PR
2007
15 years 4 months ago
2007
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
140
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AIR
2004
15 years 4 months ago
2004
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
147
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ICDIM
2007
IEEE
15 years 11 months ago
2007
IEEE
Learning classifiers has been studied extensively the last two decades. Recently, various approaches based on patterns (e.g., association rules) that hold within labeled data hav...