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» A New Empirical Study of Weak Backdoors
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MMNS
2007
124views Multimedia» more  MMNS 2007»
13 years 7 months ago
Empirical Effective Bandwidth Estimation for IPTV Admission Control
We propose an admission control approach for IPTV in which decisions to admit new flows are based on effective bandwidth estimates calculated using empirical traffic measurement. W...
Alan Davy, Dmitri Botvich, Brendan Jennings
CORR
2007
Springer
124views Education» more  CORR 2007»
13 years 5 months ago
An exploratory study of Google Scholar
Purpose – This paper2 discusses the new scientific search service Google Scholar (GS). This search engine, intended for searching exclusively scholarly documents, will be descri...
Philipp Mayr, Anne-Kathrin Walter
ESEM
2009
ACM
14 years 2 days ago
We need more coverage, stat! classroom experience with the software ICU
For empirical software engineering to reach its fullest potential, we must develop effective, experiential approaches to learning about it in a classroom setting. In this paper, ...
Philip Johnson, Shaoxuan Zhang
ML
2007
ACM
153views Machine Learning» more  ML 2007»
13 years 5 months ago
Multi-Class Learning by Smoothed Boosting
AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
Rong Jin, Jian Zhang 0003
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
13 years 9 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang