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[null,"1.","Record Nr.",null,"UNISALENTO991003631079707536"]
[null,null,"Autore",null,"Norwood, Gilbert"]
[null,null,"Titolo",null,"Plautus and Terence / by Gilbert Norwood"]
[null,null,"Descrizione fisica",null,"VII, 212 p. ; 19 cm"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Bibliografia: p. 202-204"]
[null,"2.","Record Nr.",null,"UNINA9910829159903321"]
[null,null,"Autore",null,"Barton Ariel <1982->"]
[null,null,"Titolo",null,"Elliptic partial differential equations with almost-real coefficients / / Ariel Barton"]
[null,null,"Pubbl/distr/stampa",null,"Providence, Rhode Island : , : American Mathematical Society, , 2012"]
[{"$nulls":4},"©2012"]
[null,null,"ISBN",null,"0-8218-9875-2"]
[null,null,"Descrizione fisica",null,"1 online resource (106 p.)"]
[null,null,"Collana",null,"Memoirs of the American Mathematical Society, , 1947-6221 ; ; Volume 223, Number 1051"]
[null,null,"Disciplina",null,"515/.3533"]
[null,null,"Soggetti",null,"Differential equations, Elliptic"]
[{"$nulls":4},"Differential equations, Partial"]
[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","\"May 2013 , Volume 223, Number 1051 (fifth of 5 numbers).\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Contents\"\"; \"\"Abstract\"\"; \"\"Chapter 1. Introduction\"\"; \"\"1.1. History\"\"; \"\"Chapter 2. Definitions and the Main Theorem\"\"; \"\"2.1. Geometric definitions\"\"; \"\"2.2. Definitions of function spaces\"\"; \"\"2.3. Layer potentials\"\"; \"\"2.4. The main theorem\"\"; \"\"2.5. Additional definitions\"\"; \"\"Chapter 3. Useful Theorems\"\"; \"\"3.1. Nontangential maximal functions\"\"; \"\"3.2. Bounds on solutions\"\"; \"\"3.3. Existence results\"\"; \"\"3.4. Preliminary uniqueness results\"\"; \"\"3.5. The Neumann and regularity problems in unusual domains\"\"; \"\"Chapter 4. The Fundamental Solution\"\""]
[{"$nulls":4},"\"\"4.1. A fundamental solution exists\"\"\"\"4.2. Uniqueness of the fundamental solution\"\"; \"\"4.3. Symmetry of the fundamental solution\"\"; \"\"4.4. Conjugates to the fundamental solution\"\"; \"\"4.5. CalderÃ³n-Zygmund kernels\"\"; \"\"4.6. Analyticity\"\"; \"\"Chapter 5. Properties of Layer Potentials\"\"; \"\"5.1. Limits of layer potentials and the adjoint formulas\"\"; \"\"Chapter 6. Boundedness of Layer Potentials\"\"; \"\"6.1. Proof for a small Lipschitz constant: preliminary remarks\"\"; \"\"6.2. A B for the TB theorem\"\"; \"\"6.3. Weak boundedness of operators\"\"; \"\"6.4. The adjoint inequalities\"\""]
[{"$nulls":4},"\"\"6.5. Proof for a small Lipschitz constant: final remarks\"\"\"\"6.6. Buildup to arbitrary special Lipschitz domains\"\"; \"\"6.7. Patching: special Lipschitz domains to bounded Lipschitz domains\"\"; \"\"Chapter 7. Invertibility of Layer Potentials and Other Properties\"\"; \"\"7.1. Nontangential maximal functions of layer potentials\"\"; \"\"7.2. Jump relations\"\"; \"\"7.3. Layer potentials on Hardy spaces\"\"; \"\"7.4. Invertibility "]
[{"$nulls":4},"of layer potentials\"\"; \"\"Chapter 8. Uniqueness of Solutions\"\"; \"\"8.1. Counterexamples to uniqueness\"\"; \"\"8.2. Uniqueness results\"\"; \"\"Chapter 9. Boundary Data in Hardy spaces\"\""]
[{"$nulls":4},"\"\"9.1. Solutions with boundary data in Hardy spaces\"\"\"\"9.2. Invertibility of layer potentials\"\"; \"\"Chapter 10. Concluding Remarks\"\"; \"\"10.1. Converses\"\"; \"\"Bibliography\"\""]
[null,"3.","Record Nr.",null,"UNINA9910298568303321"]
[null,null,"Autore",null,"Maji Pradipta"]
[null,null,"Titolo",null,"Scalable Pattern Recognition Algorithms : Applications in Computational Biology and Bioinformatics / / by Pradipta Maji, Sushmita Paul"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014"]
[null,null,"ISBN",null,"3-319-05630-1"]
[null,null,"Edizione",null,"[1st ed. 2014.]"]
[null,null,"Descrizione fisica",null,"1 online resource (316 p.)"]
[null,null,"Disciplina",null,"004"]
[{"$nulls":4},"006.3"]
[{"$nulls":4},"006.3/1"]
[{"$nulls":4},"006.312"]
[null,null,"Soggetti",null,"Bioinformatics"]
[{"$nulls":4},"Pattern recognition systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Radiology"]
[{"$nulls":4},"Computational and Systems Biology"]
[{"$nulls":4},"Automated Pattern Recognition"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Introduction to Pattern Recognition and Bioinformatics -- Part I Classification -- Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA -- Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers -- Part II Feature Selection -- Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules -- f -Information Measures for Selection of Discriminative Genes from Microarray Data -- Identification of Disease Genes Using Gene Expression and Protein-Protein Interaction Data -- Rough Sets for Insilico Identification of Differentially Expressed miRNAs -- Part III Clustering -- Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering -- Mutual Information Based Supervised Attribute Clustering "]
[{"$nulls":4},"for Microarray Sample Classification -- Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters -- Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images."]
[null,null,null,"Sommario/riassunto","Recent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools. This unique text/reference addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models. The book reviews both established and cutting-edge research, following a clear structure reflecting the major phases of a pattern recognition system: classification, feature selection, and clustering. The text provides a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Topics and features: Reviews the development of scalable pattern recognition algorithms for computational biology and bioinformatics Integrates different soft computing and machine learning methodologies with pattern recognition tasks Discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets Presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images Includes numerous examples and experimental results to support the theoretical concepts described Concludes each chapter with directions for future research and a comprehensive bibliography This important work will be of great use to graduate students and researchers in the fields of computer science, electrical and biomedical engineering. Researchers and practitioners involved in pattern recognition, machine learning, computational biology and bioinformatics, data mining, and soft computing will also find the book invaluable."]