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NOSSDAV
2001
Springer
14 years 2 months ago
The utility of feedback in layered multicast congestion control
Layered multicast is a common approach for dissemination of audio and video in heterogeneous network environments. Layered multicast schemes can be classified into two categories...
Sergey Gorinsky, Harrick M. Vin
ICRA
2008
IEEE
133views Robotics» more  ICRA 2008»
14 years 4 months ago
Deployment algorithms for a power-constrained mobile sensor network
Abstract— This paper presents coverage algorithms for mobile sensor networks in which agents have limited power to move. Rather than making use of a constrained optimization tech...
Andrew Kwok, Sonia Martínez
ICMLA
2010
13 years 8 months ago
Ensembles of Neural Networks for Robust Reinforcement Learning
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
Alexander Hans, Steffen Udluft
BMCBI
2005
178views more  BMCBI 2005»
13 years 10 months ago
A quantization method based on threshold optimization for microarray short time series
Background: Reconstructing regulatory networks from gene expression profiles is a challenging problem of functional genomics. In microarray studies the number of samples is often ...
Barbara Di Camillo, Fatima Sanchez-Cabo, Gianna To...
SECON
2007
IEEE
14 years 4 months ago
Quasi-static Centralized Rate Allocation for Sensor Networks
— Rate control for congestion mitigation and avoidance has received significant attention in the sensor networks literature. Existing rate control schemes dynamically assign rat...
Fang Bian, Sumit Rangwala, Ramesh Govindan