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GLOBECOM
2010
IEEE
14 years 7 months ago
Adaptive Modulation in Wireless Networks with Smoothed Flow Utility
We investigate flow rate optimization on a wireless link with randomly varying channel gain using techniques from adaptive modulation and network utility maximization. We consider ...
Ekine Akuiyibo, Stephen P. Boyd, Daniel O'Neill
ICML
2008
IEEE
15 years 10 months ago
Composite kernel learning
The Support Vector Machine (SVM) is an acknowledged powerful tool for building classifiers, but it lacks flexibility, in the sense that the kernel is chosen prior to learning. Mul...
Marie Szafranski, Yves Grandvalet, Alain Rakotomam...
ICML
2004
IEEE
15 years 10 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
RTSS
2008
IEEE
15 years 4 months ago
Task Scheduling for Control Oriented Requirements for Cyber-Physical Systems
The wide applications of cyber-physical systems (CPS) call for effective design strategies that optimize the performance of both computing units and physical plants. We study the ...
Fumin Zhang, Klementyna Szwaykowska, Wayne Wolf, V...
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
15 years 3 months ago
Collaborative interactive evolution
Interactive evolutionary computation (IEC) has proven useful in a variety of applications by combining the subjective evaluation of a user with the massive parallel search power o...
Sean R. Szumlanski, Annie S. Wu, Charles E. Hughes