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[null,"1.","Record Nr.",null,"UNINA990006712610403321"]
[null,null,"Autore",null,"Cantaro, Antonio <1955- >"]
[null,null,"Titolo",null,"Amministrare il lavoro : la presenza sindacale nei consigli d'amministrazione dei ministeri / Antonio Cantaro, Mimmo Carrieri, Ernesto D'Albergo"]
[null,null,"Pubbl/distr/stampa",null,"Milano : FrancoAngeli, 1987"]
[null,null,"Descrizione fisica",null,"162 p. : tab. ; 22 cm"]
[null,null,"Collana",null,"Varie ; 359"]
[null,null,"Disciplina",null,"352.25"]
[null,null,"Locazione",null,"BFS"]
[{"$nulls":4},"FSPBC"]
[{"$nulls":4},"DDA"]
[{"$nulls":4},"DDRC"]
[null,null,"Collocazione",null,"352.25 CAN 1"]
[{"$nulls":4},"Collez. 2173 (359)"]
[{"$nulls":4},"VI I 479"]
[{"$nulls":4},"A-VIII-52"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","In testa al front.: I.S.Am., Istituto di studi sull'amministrazione"]
[null,"2.","Record Nr.",null,"UNISA996466257903316"]
[null,null,"Titolo",null,"Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics [[electronic resource] ] : 5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings / / edited by Elena Marchiori, Jason H. Moore, Jagath C. Rajapakse"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007"]
[null,null,"ISBN",null,"3-540-71783-8"]
[null,null,"Edizione",null,"[1st ed. 2007.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XI, 302 p.)"]
[null,null,"Collana",null,"Theoretical Computer Science and General Issues, , 2512-2029 ; ; 4447"]
[null,null,"Disciplina",null,"572.80285/6"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer programming"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Programming Techniques"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"Computational and Systems Biology"]
[{"$nulls":4},"Automated Pattern Recognition"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Identifying 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 "]
[{"$nulls":4},"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."]