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» On Using Channel Prediction in Adaptive Beamforming Systems
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AAAI
2008
15 years 2 months ago
Active Learning for Pipeline Models
For many machine learning solutions to complex applications, there are significant performance advantages to decomposing the overall task into several simpler sequential stages, c...
Dan Roth, Kevin Small
BROADNETS
2004
IEEE
15 years 3 months ago
Handheld Routers: Intelligent Bandwidth Aggregation for Mobile Collaborative Communities
Multi-homed, mobile wireless computing and communication devices can spontaneously form communities to logically combine and share the bandwidth of each other's wide-area com...
Puneet Sharma, Sung-Ju Lee, Jack Brassil, Kang G. ...
PICS
1998
15 years 1 months ago
The Image Fidelity Assessor
In this paper we describe the Image FidelityAssessor (IFA), a model of the human visual system designed to evaluate perceived fidelity. In particular, we describe the structure of...
Christopher C. Taylor, Jan P. Allebach, Zygmunt Pi...
AIPS
2006
15 years 1 months ago
Combining Stochastic Task Models with Reinforcement Learning for Dynamic Scheduling
We view dynamic scheduling as a sequential decision problem. Firstly, we introduce a generalized planning operator, the stochastic task model (STM), which predicts the effects of ...
Malcolm J. A. Strens
TSMC
2010
14 years 6 months ago
Probabilistic Model-Based Diagnosis: An Electrical Power System Case Study
Abstract--We present in this paper a case study of the probabilistic approach to model-based diagnosis. Here, the diagnosed system is a real-world electrical power system (EPS), i....
Ole J. Mengshoel, Mark Chavira, Keith Cascio, Scot...