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Pattern recognition presents one of the most significant challenges for scientists and engineers, and many different approaches have been proposed. The aim of this book is to provide a self-contained account of probabilistic analysis of these approaches. The book includes a discussion of distance measures, nonparametric methods based on kernels or nearest neighbors, Vapnik-Chervonenkis theory, epsilon entropy, parametric classification, error estimation, tree classifiers, and neural networks. Wherever possible, distribution-free properties and inequalities are derived. A substantial portion of the results or the analysis is new. Over 430 problems and exercises complement the material.

Stochastic processes --- Artificial intelligence. Robotics. Simulation. Graphics --- Pattern perception. --- Probabilities. --- Perception de structure --- Probabilités --- Probabilities --- Pattern perception --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Probabilités

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Formulaic sequences (FS) are now recognized as an essential element of language use. However, research on FS has generally been limited to a focus on description, or on the place of FS in L1 acquisition. This volume opens new directions in FS research, concentrating on how FS are acquired and processed by the mind, both in the L1 and L2. The ten original studies in the volume illustrate the L2 acquisition of FS, the relationship between L1 and L2 FS, the relationship between corpus recurrence of FS and their psycholinguistic reality, the processes involved in reading FS, and pedagogical issues in teaching FS. The studies use a wide range of methodologies, many of them innovative, and thus the volume serves as a model for future research in the area. The volume begins with three survey chapters offering a background on the characteristics and measurement of FS.

Lexicology. Semantics --- Psycholinguistics --- Didactics of languages --- Language and languages --- Lexicology --- Pattern perception --- Study and teaching. --- Lexicology. --- Pattern perception. --- #KVHA:Taalonderwijs --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- English language --- Foreign language study --- Language and education --- Language schools --- Study and teaching --- LANGUAGE ARTS & DISCIPLINES --- Linguistics / General --- Languages & Literatures --- Philology & Linguistics --- Language and languages Study and teaching --- Language and languages - Study and teaching.

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This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well as to brain modeling in biology and psychology. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field. Each chapte

Decision making --- Mathematical statistics. --- Pattern perception --- Basic Sciences. Statistics --- Mathematical models. --- Statistical methods. --- Mathematical Statistics. --- Decision Making --- Mathematical statistics --- Mathematical models --- Statistical methods --- Artificial intelligence. Robotics. Simulation. Graphics --- Perception des structures --- Décision, prise de --- Statistique mathématique --- Prise de décision --- Modèles mathématiques --- Méthodes statistiques --- Pattern recognition --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Design perception --- Form perception --- Perception --- Figure-ground perception --- Decision Making - Mathematical models --- Pattern perception - Statistical methods

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Mathematics --- Pattern perception --- Pattern recognition systems --- Perception de structure --- Reconnaissance des formes (Informatique) --- 681.5 --- #WWIS:STAT --- 681.3*A0 --- 681.3*I5 --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- General --- Pattern recognition (Computing methodologies) --- Pattern perception. --- Pattern recognition systems. --- 681.3*I5 Pattern recognition (Computing methodologies) --- 681.3*A0 General --- 681.5 Automatic control engineering. Control systems, techniques, equipment. Cybernetic and automation technology --- Pattern classification systems --- Pattern recognition computers --- Computer vision

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Computer. Automation --- Pattern recognition systems --- Neural networks (Computer science) --- Image processing --- Reconnaissance des formes (Informatique) --- Réseaux neuronaux (Informatique) --- Traitement d'images --- Periodicals. --- Périodiques --- Pattern perception --- Analyse d'images --- Informatique --- Techniques numériques --- Information Technology --- Life Sciences --- Mathematical Sciences --- General and Others --- Bioinformatics --- Algorithms --- Stochastic Computation --- Image analysis --- Perception des structures --- Pattern perception. --- Pattern recognition systems. --- Pattern classification systems --- Pattern recognition computers --- Computer vision --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Digital image processing --- Digital electronics --- Analysis of images --- Image interpretation --- Photographs --- Forensic sciences --- Imaging systems --- Data processing --- Digital techniques --- Data processing. --- Digital techniques. --- Inspection --- Computer Science