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» Limiting performance of optimal linear filters
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JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
TSP
2008
147views more  TSP 2008»
13 years 7 months ago
Low-Complexity MIMO Multiuser Receiver: A Joint Antenna Detection Scheme for Time-Varying Channels
Abstract--This paper deals with the uplink of a wireless multiple-input multiple-output (MIMO) communication system based on multicarrier (MC) code division multiple access (CDMA)....
Charlotte Dumard, Thomas Zemen
VLDB
2007
ACM
147views Database» more  VLDB 2007»
14 years 7 months ago
A General Framework for Modeling and Processing Optimization Queries
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
Michael Gibas, Ning Zheng, Hakan Ferhatosmanoglu
ICCV
2007
IEEE
14 years 9 months ago
Conditional State Space Models for Discriminative Motion Estimation
We consider the problem of predicting a sequence of real-valued multivariate states from a given measurement sequence. Its typical application in computer vision is the task of mo...
Minyoung Kim, Vladimir Pavlovic
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 1 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...