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» Multiagent learning using a variable learning rate
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STOC
2003
ACM
154views Algorithms» more  STOC 2003»
16 years 6 months ago
Boosting in the presence of noise
Boosting algorithms are procedures that "boost" low-accuracy weak learning algorithms to achieve arbitrarily high accuracy. Over the past decade boosting has been widely...
Adam Kalai, Rocco A. Servedio
IEEEIAS
2008
IEEE
16 years 21 days ago
Ensemble of One-Class Classifiers for Network Intrusion Detection System
To achieve high accuracy while lowering false alarm rates are major challenges in designing an intrusion detection system. In addressing this issue, this paper proposes an ensembl...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...
ITICSE
2004
ACM
15 years 11 months ago
SQLator: an online SQL learning workbench
SQL (Structured Query Language) is one of the essential topics in foundation databases courses in higher education. Due to its apparent simple syntax, learning to use the full pow...
Shazia Wasim Sadiq, Maria E. Orlowska, Wasim Sadiq...
CORR
2010
Springer
171views Education» more  CORR 2010»
15 years 1 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
RECOMB
2008
Springer
16 years 6 months ago
Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing
We report on a new algorithm for combining the information from several mass spectra of the same peptide. The algorithm automatically learns peptide fragmentation patterns, so that...
Ritendra Datta, Marshall W. Bern