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» Evaluating algorithms that learn from data streams
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141
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CCGRID
2007
IEEE
15 years 7 months ago
Performance Evaluation in Grid Computing: A Modeling and Prediction Perspective
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Hui Li
80
Voted
ICANN
2009
Springer
15 years 5 months ago
Learning SVMs from Sloppily Labeled Data
This paper proposes a modelling of Support Vector Machine (SVM) learning to address the problem of learning with sloppy labels. In binary classification, learning with sloppy labe...
Guillaume Stempfel, Liva Ralaivola
105
Voted
BNCOD
2008
129views Database» more  BNCOD 2008»
15 years 2 months ago
A Semantics for a Query Language over Sensors, Streams and Relations
Abstract. We introduce a query language over sensors, streams and relations and formally describe its semantics. Although the language was specifically designed for sensor network ...
Christian Y. A. Brenninkmeijer, Ixent Galpin, Alva...
94
Voted
LREC
2010
165views Education» more  LREC 2010»
15 years 2 months ago
Cooperation for Arabic Language Resources and Tools - The MEDAR Project
The paper describes some of the work carried out within the European funded project MEDAR. The project has three streams of activity: the technical stream, the cooperation stream ...
Bente Maegaard, Mohamed Attia, Khalid Choukri, Oli...
114
Voted
NIPS
2008
15 years 2 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...