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Improved Classification Rates for Localized Algorithms under Margin Conditions

in particular include classification rates. The statistical analysis relies on a new and simple partitioning based technique and takes well-known margin;

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Iris Recognition

algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions, and there;

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Neural Network Learning

neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin;

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Neural Network Learning

neural network models. A model of classification by real-output networks is developed, and the usefulness of classification with a 'large margin;

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Power Theories for Improved Power Quality

prevention of these problems amount to fragments of these costs. Power Theories for Improved Power Quality addresses this imbalance by presenting and;

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Genetic Algorithms, Fuzzy Systems & Website Classification

; classification algorithms in handling noisy training data and meta data generation for automates web page classification.;

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Transforming Education Outcomes in Africa

the margin are insufficient to bring about the transformation needed to bring about acceptable levels of learning. Important reading for;

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AdaBoost Extensions for Cost-Sensitive Classification

This book provides a review and a research of a special type of classification technique which is known as cost-sensitive data mining. Cost;

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MPPT for Photovoltaic Array under Partially Shaded Conditions

Power characteristics of photovoltaic systems can have multiple peaks when under partially shaded conditions. This can cause traditional;

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Automated Inequality Proving And Discovering

collaborators, such as real root counting, real root classification, improved CAD projection, dimension-decreasing algorithm, difference substitution;

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Evaluation of the Surgical Margin, An Issue of Oral and Maxillofacial Clinics of North America

of the Oropharynx; Bone Margin Analysis: Segmental Versus Marginal Resection in Malignant Disease; Bone Margin Analysis for Benign Odontogenic;

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Algorithms for Regression and Classification

in higher dimensions are presented. For classification in genetic association studies, this thesis describes a Genetic Programming algorithm that;

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Optimizing Hospital-wide Patient Scheduling

Diagnosis-related groups (DRGs) are used in hospitals for the reimbursement of inpatient services. The assignment of a patient to a DRG can;

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Visibility Algorithms for Real-Time Rendering

algorithms are only usable under certain conditions, or for specific scene configurations. Visibility computations are also required to solve complex;

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Machine Learning

source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main;

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Interval-Valued Methods in Classifications and Decisions

processes under incomplete or imprecise information. At first, it introduces interval-valued fuzzy sets. It then discusses new methods for;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Feature Selection for High-Dimensional Data

This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the;

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Randomized Routing Algorithms in Mobile Ad Hoc Networks

the direction towards the destination. Additionally, the routing decisions are randomized - for improved flexibility and reliability;

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Machine Learning: A Practical Approach on the Statistical Learning Theory

source codes. It can be used as a textbook in graduation or undergraduation courses, for self-learners, or as reference with respect to the main;

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Lecture Notes In Data Mining

The continual explosion of information technology and the need for better data collection and management methods has made data mining an;

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Data Mining Algorithms

building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality;

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Speech Enhancement

enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech;

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Speech Enhancement

enhancement methods. It also evaluates and compares several of the algorithms. The fourth part presents binary mask algorithms for improving speech;

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Migraine and Other Headache Disorders

Following recent guidelines set by the International Classification of Headache Disorders, this reference presents the most current;

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Migraine and Other Headache Disorders

Following recent guidelines set by the International Classification of Headache Disorders, this reference presents the most current;

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