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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 4 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
IUCS
2009
ACM
141views Communications» more  IUCS 2009»
15 years 9 months ago
Linking Wikipedia entries to blog feeds by machine learning
This paper studies the issue of conceptually indexing the blogosphere through the whole hierarchy of Wikipedia entries. This paper proposes how to link Wikipedia entries to blog f...
Mariko Kawaba, Hiroyuki Nakasaki, Daisuke Yokomoto...
108
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AIME
2007
Springer
15 years 8 months ago
Machine Learning Techniques for Decision Support in Anesthesia
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
Olivier Caelen, Gianluca Bontempi, Luc Barvais
CAIP
1999
Springer
139views Image Analysis» more  CAIP 1999»
15 years 6 months ago
Image Retrieval System Based on Machine Learning and Using Color Features
We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images wit...
Janez Demsar, Dragan Radolovic, Franc Solina
NAACL
2007
15 years 3 months ago
A Cascaded Machine Learning Approach to Interpreting Temporal Expressions
A new architecture for identifying and interpreting temporal expressions is introduced, in which the large set of complex hand-crafted rules standard in systems for this task is r...
David Ahn, Joris van Rantwijk, Maarten de Rijke