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» Hedging predictions in machine learning
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AIL
2006
130views more  AIL 2006»
14 years 10 months ago
Extractive summarisation of legal texts
We describe research carried out as part of a text summarisation project for the legal domain for which we use a new XML corpus of judgments of the UK House of Lords. These judgmen...
Ben Hachey, Claire Grover
FSS
2007
117views more  FSS 2007»
14 years 10 months ago
Multiple regression with fuzzy data
In this paper, we propose an iterative algorithm for multiple regression with fuzzy variables.While using the standard least-squares criterion as a performance index, we pose the ...
Andrzej Bargiela, Witold Pedrycz, Tomoharu Nakashi...
NECO
2006
157views more  NECO 2006»
14 years 10 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
PRL
2008
246views more  PRL 2008»
14 years 10 months ago
Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion
In this paper, the automatic medical annotation task of the 2007 CLEF cross-language image retrieval campaign (ImageCLEF) is described. The paper focusses on the images used, the ...
Thomas Deselaers, Thomas Martin Deserno, Henning M...
SIGMETRICS
2008
ACM
109views Hardware» more  SIGMETRICS 2008»
14 years 10 months ago
Automatic request categorization in internet services
Modeling system performance and workload characteristics has become essential for efficiently provisioning Internet services and for accurately predicting future resource requirem...
Abhishek Sharma, Ranjita Bhagwan, Monojit Choudhur...