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» Evaluating algorithms that learn from data streams
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SOSP
2009
ACM
16 years 4 months ago
Quincy: fair scheduling for distributed computing clusters
This paper addresses the problem of scheduling concurrent jobs on clusters where application data is stored on the computing nodes. This setting, in which scheduling computations ...
Michael Isard, Vijayan Prabhakaran, Jon Currey, Ud...
ICC
2009
IEEE
136views Communications» more  ICC 2009»
15 years 5 months ago
Performance of VoIP with DCCP for Satellite Links
Abstract--We present experimental results for the performance of selected voice codecs using the Datagram Congestion Control Protocol (DCCP) with TCP-Friendly Rate Control (TFRC) c...
Golam Sarwar, Roksana Boreli, Emmanuel Lochin
SDM
2009
SIAM
235views Data Mining» more  SDM 2009»
16 years 4 months ago
Topic Cube: Topic Modeling for OLAP on Multidimensional Text Databases.
As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data records and unstruc...
ChengXiang Zhai, Duo Zhang, Jiawei Han
WWW
2004
ACM
16 years 8 months ago
Is question answering an acquired skill?
We present a question answering (QA) system which learns how to detect and rank answer passages by analyzing questions and their answers (QA pairs) provided as training data. We b...
Ganesh Ramakrishnan, Soumen Chakrabarti, Deepa Par...
ISPA
2005
Springer
16 years 28 days ago
COMPACT: A Comparative Package for Clustering Assessment
Abstract. There exist numerous algorithms that cluster data-points from largescale genomic experiments such as sequencing, gene-expression and proteomics. Such algorithms may emplo...
Roy Varshavsky, Michal Linial, David Horn