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» Regularization and feature selection for networked features
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127
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AAAI
2008
15 years 6 months ago
Bounding the False Discovery Rate in Local Bayesian Network Learning
Modern Bayesian Network learning algorithms are timeefficient, scalable and produce high-quality models; these algorithms feature prominently in decision support model development...
Ioannis Tsamardinos, Laura E. Brown
143
Voted
CEAS
2008
Springer
15 years 5 months ago
Exploiting Transport-Level Characteristics of Spam
We present a novel spam detection technique that relies on neither content nor reputation analysis. This work investigates the discriminatory power of email transport-layer charac...
Robert Beverly, Karen R. Sollins
125
Voted
WWIC
2004
Springer
140views Communications» more  WWIC 2004»
15 years 9 months ago
An Agent-Based Architecture for Service Discovery and Negotiation in Wireless Networks
This paper proposes a market-place based architecture, where users can detect wireless network services, negotiate with the identified service providers about price and service fe...
Erich Bircher, Torsten Braun
109
Voted
ICAISC
2004
Springer
15 years 9 months ago
Application of Rough Sets and Neural Networks to Forecasting University Facility and Administrative Cost Recovery
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
Tomasz G. Smolinski, Darrel L. Chenoweth, Jacek M....
146
Voted
ANCS
2007
ACM
15 years 7 months ago
Ruler: high-speed packet matching and rewriting on NPUs
Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
Tomas Hruby, Kees van Reeuwijk, Herbert Bos