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» Large Margin Classification Using the Perceptron Algorithm
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SIGCOMM
2010
ACM
15 years 2 months ago
EffiCuts: optimizing packet classification for memory and throughput
Packet Classification is a key functionality provided by modern routers. Previous decision-tree algorithms, HiCuts and HyperCuts, cut the multi-dimensional rule space to separate ...
Balajee Vamanan, Gwendolyn Voskuilen, T. N. Vijayk...
GECCO
2003
Springer
160views Optimization» more  GECCO 2003»
15 years 7 months ago
Using Genetic Algorithms for Data Mining Optimization in an Educational Web-Based System
This paper presents an approach for classifying students in order to predict their final grade based on features extracted from logged data in an education web-based system. A comb...
Behrouz Minaei-Bidgoli, William F. Punch
ICMLA
2004
15 years 3 months ago
Two new regularized AdaBoost algorithms
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
Yijun Sun, Jian Li, William W. Hager
129
Voted
WWW
2008
ACM
16 years 2 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...
122
Voted
INFOCOM
2007
IEEE
15 years 8 months ago
Performance Evaluation of Loss Networks via Factor Graphs and the Sum-Product Algorithm
— Loss networks provide a powerful tool for the analysis and design of many communication and networking systems. It is well known that a large number of loss networks have produ...
Jian Ni, Sekhar Tatikonda