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TSP
2010
14 years 4 months ago
Noisy data and impulse response estimation
Abstract--This paper investigates the impulse response estimation of linear time-invariant (LTI) systems when only noisy finitelength input-output data of the system is available. ...
Soosan Beheshti, Munther A. Dahleh
CPAIOR
2004
Springer
15 years 3 months ago
Simple Rules for Low-Knowledge Algorithm Selection
This paper addresses the question of selecting an algorithm from a predefined set that will have the best performance on a scheduling problem instance. Our goal is to reduce the e...
J. Christopher Beck, Eugene C. Freuder
JSA
2006
97views more  JSA 2006»
14 years 9 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
ECAL
1999
Springer
15 years 2 months ago
Integrating Unsupervised Learning, Motivation and Action Selection in an A-life Agent
How can we expect an A-life Agent to learn how to perform tasks when it is not told what those tasks are, and it is not provided any indication or feedback as to its performance? ...
Mark Witkowski
SIAMCO
2011
14 years 4 months ago
Admissible Strategies in Semimartingale Portfolio Selection
The choice of admissible trading strategies in mathematical modelling of financial markets is a delicate issue, going back to Harrison and Kreps [HK79]. In the context of optimal...
Sara Biagini, Ales Cerný