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» Extremal Problems of Information Combining
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CLIN
2001
13 years 11 months ago
Multi-feature Error Detection in Spoken Dialogue Systems
The present paper evaluates the role selected features and feature combinations play for error detection in spoken dialogue systems. We investigate the relevance of various, readi...
Piroska Lendvai, Antal van den Bosch, Emiel Krahme...
WWW
2010
ACM
14 years 4 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
WSDM
2012
ACM
290views Data Mining» more  WSDM 2012»
12 years 5 months ago
Online selection of diverse results
The phenomenal growth in the volume of easily accessible information via various web-based services has made it essential for service providers to provide users with personalized ...
Debmalya Panigrahi, Atish Das Sarma, Gagan Aggarwa...
ICML
1999
IEEE
14 years 10 months ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
ESTIMEDIA
2008
Springer
13 years 11 months ago
Weighted feedback reclaiming for multimedia applications
Resource reservations are a very popular choice to schedule multimedia tasks. However, the high variability of the resource requirements hinders a static choice of the scheduling ...
Luigi Palopoli, Luca Abeni, Tommaso Cucinotta, Giu...