LEADER 01371cam0-22004211i-450- 001 990006712610403321 005 20121026104812.0 035 $a000671261 035 $aFED01000671261 035 $a(Aleph)000671261FED01 035 $a000671261 100 $a20010426d1987----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay---n---001cy 200 1 $aAmministrare il lavoro$ela presenza sindacale nei consigli d'amministrazione dei ministeri$fAntonio Cantaro, Mimmo Carrieri, Ernesto D'Albergo 210 $aMilano$cFrancoAngeli$d1987 215 $a162 p.$ctab.$d22 cm 225 1 $aVarie$v359 300 $aIn testa al front.: I.S.Am., Istituto di studi sull'amministrazione 610 0 $aAmministrazione pubblica$aConsigli di amministrazione$aPartecipazione sindacale 676 $a352.25$v21$zita 700 1$aCantaro,$bAntonio$f<1955- >$0125442 701 1$aCarrieri,$bMimmo$0129069 701 1$aD'Albergo,$bErnesto$f<1902-1974>$0111445 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a990006712610403321 952 $a352.25 CAN 1$b2629$fBFS 952 $aCollez. 2173 (359)$b6524$fFSPBC 952 $aVI I 479$b1029$fDDA 952 $aA-VIII-52$b577 dip.$fDDRC 959 $aBFS 959 $aDDA 959 $aFSPBC 959 $aDDRC 996 $aAmministrare il lavoro$9615501 997 $aUNINA LEADER 00850nam0-22003011i-450- 001 990003030850403321 035 $a000303085 035 $aFED01000303085 035 $a(Aleph)000303085FED01 035 $a000303085 100 $a20000920d1985----km-y0itay50------ba 101 0 $aeng 102 $aIT 200 1 $aCommon Knowledge with Probabilty 1$fA. Brandeburger and E. Dekel. 210 $aCambridge$cDepartment of Applied Economics$dUniversity of Cambridge$d\September \\1985. 215 $a10 p.$d20 cm 676 $aB/3.4 676 $aC/2.3 702 1$aBrandenburger,$bAdam 702 1$aDekel,$bEddie 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990003030850403321 952 $aA/71 ECO$b3702$fSES 959 $aSES 996 $aCommon Knowledge with Probabilty 1$9464211 997 $aUNINA DB $aING01 LEADER 05196nam 22007695 450 001 996466257903316 005 20230220114810.0 010 $a3-540-71783-8 024 7 $a10.1007/978-3-540-71783-6 035 $a(CKB)1000000000478488 035 $a(SSID)ssj0000151532 035 $a(PQKBManifestationID)11153781 035 $a(PQKBTitleCode)TC0000151532 035 $a(PQKBWorkID)10337677 035 $a(PQKB)11068187 035 $a(DE-He213)978-3-540-71783-6 035 $a(MiAaPQ)EBC3068371 035 $a(PPN)123161576 035 $a(EXLCZ)991000000000478488 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics$b[electronic resource] $e5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings /$fedited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XI, 302 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4447 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-71782-X 320 $aIncludes bibliographical references and index. 327 $aIdentifying Regulatory Sites Using Neighborhood Species -- Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD50) and Plasma Protein Binding Levels (%PPB) of Drugs -- Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction -- Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data -- One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification -- Understanding Signal Sequences with Machine Learning -- Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization -- Modeling Genetic Networks: Comparison of Static and Dynamic Models -- A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data -- Modeling the Shoot Apical Meristem in A. thaliana: Parameter Estimation for Spatial Pattern Formation -- Evolutionary Search for Improved Path Diagrams -- Simplifying Amino Acid Alphabets Using a Genetic Algorithm and Sequence Alignment -- Towards Evolutionary Network Reconstruction Tools for Systems Biology -- A Gaussian Evolutionary Method for Predicting Protein-Protein Interaction Sites -- Bio-mimetic Evolutionary Reverse Engineering of Genetic Regulatory Networks -- Tuning ReliefF for Genome-Wide Genetic Analysis -- Dinucleotide Step Parameterization of Pre-miRNAs Using Multi-objective Evolutionary Algorithms -- Amino Acid Features for Prediction of Protein-Protein Interface Residues with Support Vector Machines -- Predicting HIV Protease-Cleavable Peptides by Discrete Support Vector Machines -- Inverse Protein Folding on 2D Off-Lattice Model: Initial Results and Perspectives -- Virtual Error: A New Measure for Evolutionary Biclustering -- Characterising DNA/RNA Signals with Crisp Hypermotifs: A Case Study on Core Promoters -- Evaluating Evolutionary Algorithms and Differential Evolution for the Online Optimization of Fermentation Processes -- The Role of a Priori Information in the Minimization of Contact Potentials by Means of Estimation of Distribution Algorithms -- Classification of Cell Fates with Support Vector Machine Learning -- Reconstructing Linear Gene Regulatory Networks -- Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment -- Substitution Matrix Optimisation for Peptide Classification. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4447 606 $aArtificial intelligence 606 $aComputer programming 606 $aComputer science 606 $aAlgorithms 606 $aBioinformatics 606 $aPattern recognition systems 606 $aArtificial Intelligence 606 $aProgramming Techniques 606 $aTheory of Computation 606 $aAlgorithms 606 $aComputational and Systems Biology 606 $aAutomated Pattern Recognition 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aComputer science. 615 0$aAlgorithms. 615 0$aBioinformatics. 615 0$aPattern recognition systems. 615 14$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aTheory of Computation. 615 24$aAlgorithms. 615 24$aComputational and Systems Biology. 615 24$aAutomated Pattern Recognition. 676 $a572.80285/6 702 $aMarchiori$b Elena$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMoore$b Jason H$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRajapakse$b Jagath C$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466257903316 996 $aEvolutionary Computation, Machine Learning and Data Mining in Bioinformatics$9774188 997 $aUNISA