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[null,"1.","Record Nr.",null,"UNISANNIOBVEE017633"]
[null,null,"Autore",null,"Lucianus"]
[null,null,"Titolo",null,"ÂI Âdiletteuoli dialogi le vere narrationi, le facete epistole di Luciano philosopho, di greco in uolgare tradotte per M. Nicolo da Lonigo, et historiate, & di nuouo accuratamente reuiste & emendate"]
[null,null,"Pubbl/distr/stampa",null,"1529 ( (Impresso in Vineggia) : per Nicolo di Aristotile libraro detto Zoppino, 1529. del mese di Maggio"]
[null,null,"Titolo uniforme",null,"Dialogi"]
[null,null,"Descrizione fisica",null,"CCXXIII, [1] c. : ill. ; 8Âº"]
[null,null,"Collocazione",null,"BUSALA VITI RARI.04                 40"]
[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","Marca (V532) in fine"]
[{"$nulls":4},"Cors. ; rom"]
[{"$nulls":4},"Segn.: A-2Eâ\u0081¸"]
[{"$nulls":4},"Front. e c. A4v. e A5r. stampati in rosso e nero."]
[null,"2.","Record Nr.",null,"UNISA990003220580203316"]
[null,null,"Autore",null,"BETH, Evert W."]
[null,null,"Titolo",null,"Formal methods : An introduction to symbolic logic and to the study of effective operations in arithmetic and logic / Beth Evert W."]
[null,null,"Pubbl/distr/stampa",null,"Dordrecht : Reidel, 1962"]
[null,null,"Descrizione fisica",null,"XIV, 170 p. : ill. ; 22 cm"]
[null,null,"Collana",null,"Synthese library"]
[null,null,"Disciplina",null,"511.3"]
[null,null,"Soggetti",null,"Logica matematica"]
[null,null,"Collocazione",null,"511.3 BET"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"3.","Record Nr.",null,"UNINA9910484426103321"]
[null,null,"Titolo",null,"Artificial Neural Networks in Pattern Recognition : Second IAPR Workshop, ANNPR 2006, Ulm, Germany, August 31-September 2, 2006, Proceedings / / edited by Friedhelm Schwenker, Simone Marinai"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006"]
[null,null,"ISBN",null,"3-540-37952-5"]
[null,null,"Edizione",null,"[1st ed. 2006.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 302 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 4087"]
[null,null,"Disciplina",null,"006.4"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computer science"]
[{"$nulls":4},"Electronic data processing - Management"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Theory of Computation"]
[{"$nulls":4},"IT Operations"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"The second IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, was held at the University of Ulm (Germany)\"--Pref."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Unsupervised Learning -- Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions -- Comparison Between Two Spatio-Temporal Organization Maps for Speech Recognition -- Adaptive Feedback Inhibition Improves Pattern Discrimination Learning -- Semi-supervised Learning -- Supervised Batch Neural Gas -- Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes -- On the Effects of Constraints in Semi-supervised Hierarchical Clustering -- A Study of the Robustness of KNN Classifiers Trained Using Soft Labels -- Supervised Learning -- An Experimental Study on Training Radial Basis Functions by Gradient Descent -- A Local Tangent Space Alignment Based Transductive Classification Algorithm -- Incremental Manifold Learning Via Tangent "]
[{"$nulls":4},"Space Alignment -- A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware -- Ammonium Estimation in a Biological Wastewater Plant Using Feedforward Neural Networks -- Support Vector Learning -- Support Vector Regression Using Mahalanobis Kernels -- Incremental Training of Support Vector Machines Using Truncated Hypercones -- Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques -- Multiple Classifier Systems -- Multiple Classifier Systems for Embedded String Patterns -- Multiple Neural Networks for Facial Feature Localization in Orientation-Free Face Images -- Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory -- Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization -- Visual Object Recognition -- Object Detection and Feature Base Learning with Sparse Convolutional Neural Networks -- Visual Classification of Images by Learning Geometric Appearances Through Boosting -- An Eye Detection System Based on Neural Autoassociators -- Orientation Histograms for Face Recognition -- Data Mining in Bioinformatics -- An Empirical Comparison of Feature Reduction Methods in the Context of Microarray Data Classification -- Unsupervised Feature Selection for Biomarker Identification in Chromatography and Gene Expression Data -- Learning and Feature Selection Using the Set Covering Machine with Data-Dependent Rays on Gene Expression Profiles."]
[null,null,null,"Sommario/riassunto","This book constitutes the refereed proceedings of the Second IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2006, held in Ulm, Germany in August/September 2006. The 26 revised papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on unsupervised learning, semi-supervised learning, supervised learning, support vector learning, multiple classifier systems, visual object recognition, and data mining in bioinformatics."]