1323 search results - page 135 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
JBI
2007
14 years 9 months ago
2007
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
ACIVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
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PPSN
2010
Springer
14 years 7 months ago
2010
Springer
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
COLING
1996
14 years 11 months ago
1996
The development of natural language proccssing (NLP) systems that perform machine translation (MT) and information retrieval (IR) has highlighted the need for the automatic recogn...
UM
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...