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» On the Complexity of Computing Short Linearly Independent Ve...
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HIS
2004
13 years 10 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
WSC
2007
13 years 11 months ago
Visualization techniques utilizing the sensitivity analysis of models
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
Ivo Kondapaneni, Pavel Kordík, Pavel Slav&i...
MASCOTS
2010
13 years 10 months ago
Expanding the Event Horizon in Parallelized Network Simulations
The simulation models of wireless networks rapidly increase in complexity to accurately model wireless channel characteristics and the properties of advanced transmission technolog...
Georg Kunz, Olaf Landsiedel, Stefan Götz, Kla...
CDC
2008
IEEE
143views Control Systems» more  CDC 2008»
14 years 3 months ago
On the use of numerical methods for analysis and control of nonlinear convective systems
Abstract— A common approach to designing feedback controllers for nonlinear partial differential equations (PDEs) is to linearize the system about an equilibrium and use the line...
Edward Allen, John A. Burns, David S. Gilliam
CN
2006
75views more  CN 2006»
13 years 8 months ago
Dynamic online QoS routing schemes: Performance and bounds
Several dynamic QoS routing techniques have been recently proposed for new IP networks based on label forwarding. However, no extensive performance evaluation and comparison is av...
Antonio Capone, Luigi Fratta, Fabio Martignon