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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-004.mrc:643443774:3877
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-004.mrc:643443774:3877?format=raw

LEADER: 03877mam a2200373 a 4500
001 1999689
005 20220609045559.0
008 970122s1997 maua b 100 0 eng
010 $a 97000193
020 $a0817639896 (Boston : alk. paper)
020 $a3764339896 (Basel : alk. paper)
020 $a081763973X (Boston : alk. paper)
035 $a(OCoLC)ocm36284176
035 $9AMM2886CU
035 $a1999689
040 $aDLC$cDLC$dC#P$dOrLoB-B
050 00 $aTJ212.2$b.C6545 1997
082 00 $a629.8/9$221
245 00 $aComputer-intensive methods in control and signal processing :$bthe curse of dimensionality /$cKevin Warwick, Miroslav Kárný, editors.
260 $aBoston :$bBirkhäuser,$c1997.
300 $axvi, 303 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
500 $a"2nd European IEEE Workshop on Computer-Intensive Methods in Control and Signal Processing: Can We Beat the Curse of Dimensionality? Prague, Czech Republic, August 28-30, 1996"--P. [xi].
504 $aIncludes bibliographical references.
505 00 $g1.$tFighting Dimensionality with Linguistic Geometry /$rBoris Stilman --$g2.$tStatistical Physics and the Optimization of Autonomous Behaviour in Complex Virtual Worlds /$rRobert W. Penney --$g3.$tOn Merging Gradient Estimation with Mean-Tracking Techniques for Cluster Identification /$rPaul D. Fox, Elmawati L. Sutanto and Kevin Warwick --$g4.$tComputational Aspects of Graph Theoretic Methods in Control /$rKatalin M. Hangos and Zsolt Tuza --$g5.$tEfficient Algorithms for Predictive Control of Systems with Bounded Inputs /$rLuigi Chisci, A. Marongiu and F. Schoen [et al.] --$g6.$tApplying New Numerical Algorithms to the Solution of Discrete-time Optimal Control Problems /$rRudiger Franke and Eckhard Arnold --$g7.$tSystem Identification using Composition Networks /$rYves Moreau and Joos Vandewalle --$g8.$tRecursive Nonlinear Estimation of Non-linear/Non-Gaussian Dynamic Models /$rRudolf Kulhavy --$g9.$tMonte Carlo Approach to Bayesian Regression Modelling /$rJan Smid, Petr Volf and Gopal Rao --
505 80 $g10.$tIdentification of Reality in Bayesian Context /$rLudek Berec and Miroslav Karny --$g11.$tNonlinear Nonnormal Dynamic Models: State Estimation and Software /$rMiroslav Simandl and Miroslav Flidr --$g12.$tThe EM Algorithm: A Guided Tour /$rChristophe Couvreur --$g13.$tEstimation of Quasipolynomials in Noise: Theoretical, Algorithmic and Implementation Aspects /$rVytautas Slivinskas and Virginija Simonyte --$g14.$tIterative Reconstruction of Transmission Sinograms with Low Signal to Noise Ratio /$rJohan Nuyts, Patrick Dupont and Luc Mortelmans --$g15.$tCurse of Dimensionality: Classifying Large Multi-Dimensional Images with Neural Networks /$rRudolf Hanka and Thomas P. Harte --$g16.$tDimension-independent Rates of Approximation by Neural Networks /$rVera Kurkova --$g17.$tEstimation of Human Signal Detection Performance from Event-Related Potentials Using Feed-Forward Neural Network Model /$rMilos Koska, Roman Rosipal and Artur Konig [et al.] --
505 80 $g18.$tUtilizing Geometric Anomalies of High Dimension: When Complexity Makes Computation Easier /$rPaul C. Kainen --$g19.$tApproximation Using Cubic B-Splines with Improved Training Speed and Accuracy /$rJulian D. Mason, Katerina Hlavackova and Kevin Warwick.
650 0 $aAutomatic control$xData processing$vCongresses.$0http://id.loc.gov/authorities/subjects/sh2009116419
650 0 $aSignal processing$xData processing$vCongresses.
700 1 $aWarwick, K.
700 1 $aKárný, M.$0http://id.loc.gov/authorities/names/n93063101
711 2 $aEuropean IEEE Workshop on Computer-Intensive Methods in Control and Signal Processing: Can We Beat the Curse of Dimensionality?$n(2nd :$d1996 :$cPrague, Czech Republic)
852 00 $boff,eng$hTJ212.2$i.C6545 1997