Download or read book The Principles and Technique of Preparing an Occupational Classification of Positions in the Public Service written by Edwin Oscar Griffenhagen and published by . This book was released on 1924 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Classification Techniques for Healthcare Analysis written by Chakraborty, Chinmay and published by IGI Global. This book was released on 2019-02-22 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals’ success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.
Download or read book Computer Vision Methods for Fast Image Classification and Retrieval written by Rafał Scherer and published by Springer. This book was released on 2019-01-29 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents selected methods for accelerating image retrieval and classification in large collections of images using what are referred to as ‘hand-crafted features.’ It introduces readers to novel rapid image description methods based on local and global features, as well as several techniques for comparing images. Developing content-based image comparison, retrieval and classification methods that simulate human visual perception is an arduous and complex process. The book’s main focus is on the application of these methods in a relational database context. The methods presented are suitable for both general-type and medical images. Offering a valuable textbook for upper-level undergraduate or graduate-level courses on computer science or engineering, as well as a guide for computer vision researchers, the book focuses on techniques that work under real-world large-dataset conditions.
Download or read book Techniques for Designing Classification Problems written by Ratna Raju Mukiri and published by Educreation Publishing. This book was released on 2018-10-30 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis is mainly concerned with classification of tasks and related issues that appear in real-world scenarios, such as incomplete records and irrelevant and/or redundant pieces of information, imbalanced class distribution and imbalanced error costs. There is no universally accepted best classifier and general rules for appropriate metric to select in a certain context exist. Translating the data characteristics and problem goals into appropriate performance, metrics, appropriate classifier is successful data mining process. An original meta-learning framework for automated classifier selection is presented in the case studies section for baseline performance assessment.
Download or read book Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis written by Nilanjan Dey and published by Academic Press. This book was released on 2019-07-31 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply classification techniques to a wide variety of clinical applications that are appropriate for researchers and biomedical engineers in the areas of machine learning, deep learning, data analysis, data management and computer-aided diagnosis (CAD) systems design. The book covers several complex image classification problems using pattern recognition methods, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Bayesian Networks (BN) and deep learning. Further, numerous data mining techniques are discussed, as they have proven to be good classifiers for medical images. Examines the methodology of classification of medical images that covers the taxonomy of both supervised and unsupervised models, algorithms, applications and challenges Discusses recent advances in Artificial Neural Networks, machine learning, and deep learning in clinical applications Introduces several techniques for medical image processing and analysis for CAD systems design
Download or read book Machine Learning Techniques for Time Series Classification written by Michael Botsch and published by Cuvillier Verlag. This book was released on 2023-06-23 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classification of time series is an important task in various fields, e.g., medicine, finance, and industrial applications. This work discusses strong temporal classification using machine learning techniques. Here, two problems must be solved: the detection of those time instances when the class labels change and the correct assignment of the labels. For this purpose the scenario-based random forest algorithm and a segment and label approach are introduced. The latter is realized with either the augmented dynamic time warping similarity measure or with interpretable generalized radial basis function classifiers. The main application presented in this work is the detection and categorization of car crashes using machine learning. Depending on the crash severity different safety systems, e.g., belt tensioners or airbags must be deployed at time instances when the best-possible protection of passengers is assured.
Download or read book Training Course in the Basic Principles and Techniques of Position Classification written by United States Civil Service Commission. Bureau of Programs and Standards. Pay Systems Section and published by . This book was released on 1959 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Soft Computing Techniques for Type 2 Diabetes Data Classification written by Ramalingaswamy Cheruku and published by CRC Press. This book was released on 2020-07-26 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diabetes Mellitus (DM, commonly referred to as diabetes, is a metabolic disorder in which there are high blood sugar levels over a prolonged period. Lack of sufficient insulin causes presence of excess sugar levels in the blood. As a result the glucose levels in diabetic patients are more than normal ones. It has symptoms like frequent urination, increased hunger, increase thirst and high blood sugar. There are mainly three types of diabetes namely type-1, type-2 and gestational diabetes. Type-1 DM occurs due to immune system mistakenly attacks and destroys the beta-cells and Type-2 DM occurs due to insulin resistance. Gestational DM occurs in women during pregnancy due to insulin blocking by pregnancy harmones. Among these three types of DM, type-2 DM is more prevalence, and impacting so many millions of people across the world. Classification and predictive systems are actually reliable in the health care sector to explore hidden patterns in the patients data. These systems aid, medical professionals to enhance their diagnosis, prognosis along with remedy organizing techniques. The less percentage of improvement in classifier predictive accuracy is very important for medical diagnosis purposes where mistakes can cause a lot of damage to patient’s life. Hence, we need a more accurate classification system for prediction of type-2 DM. Although, most of the above classification algorithms are efficient, they failed to provide good accuracy with low computational cost. In this book, we proposed various classification algorithms using soft computing techniques like Neural Networks (NNs), Fuzzy Systems (FS) and Swarm Intelligence (SI). The experimental results demonstrate that these algorithms are able to produce high classification accuracy at less computational cost. The contributions presented in this book shall attempt to address the following objectives using soft computing approaches for identification of diabetes mellitus. Introuducing an optimized RBFN model called Opt-RBFN. Designing a cost effective rule miner called SM-RuleMiner for type-2 diabetes diagnosis. Generating more interpretable fuzzy rules for accurate diagnosis of type2 diabetes using RST-BatMiner. Developing accurate cascade ensemble frameworks called Diabetes-Network for type-2 diabetes diagnosis. Proposing a Multi-level ensemble framework called Dia-Net for improving the classification accuracy of type-2 diabetes diagnosis. Designing an Intelligent Diabetes Risk score Model called Intelli-DRM estimate the severity of Diabetes mellitus. This book serves as a reference book for scientific investigators who need to analyze disease data and/or numerical data, as well as researchers developing methodology in soft computing field. It may also be used as a textbook for a graduate and post graduate level course in machine learning or soft computing.
Download or read book Tentative Condensed Classification of Printing Industry Techniques written by and published by . This book was released on 1939 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Data Mining Techniques Classification Clustering Regression and Prediction written by Mr.Chitra Sabapathy Ranganathan and published by Leilani Katie Publication. This book was released on 2024-04-02 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mr.Chitra Sabapathy Ranganathan, Associate Vice President, Mphasis Corporation, Arizona, USA
Download or read book Meeting of the National Assembly of Civil Service Commissions written by National Assembly of Civil Service Commissions (U.S.). Meeting and published by . This book was released on 1917 with total page 690 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biennial Meeting written by Civil Service Assembly of the United States and Canada and published by . This book was released on 1922 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book New Classification Techniques written by William H. Helme and published by . This book was released on 1962 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research to Improve Enlisted Classification Techniques written by William H. Helme and published by . This book was released on 1964 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research responsive to the Army requirement for maintenance and continued development of the aptitude area system of differential classification of enlisted men is reviewed. Research effort of the NEW CLASSIFICATION TECHNIQUES Task has been devoted substantially to improved measures for the Army Classification Battery (ACB) and identification of combinations of tests which are the most effective differential predictors of success in occupational areas and subareas. Additional Task objectives encompass (1) identifying potential career enlisted men; (2) screening and assignment of enlisted men of relatively low ability, (3) developing physical proficiency measures to classify EM for combat and combat-support MOS with unusual physical demands. New Classification tests developed and ready for comprehensive evaluation as potential components of the ACB include: aptitude and ability tests for Electronics, General Maintenance, Motor Maintenance, and Clerical job areas; three information tests for Construction and Mechanical-Electrical jobs; and personality-interest measures.
Download or read book New Soft Computing Techniques for System Modeling Pattern Classification and Image Processing written by Leszek Rutkowski and published by Springer. This book was released on 2013-03-09 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.
Download or read book Search Techniques in Intelligent Classification Systems written by Andrey V. Savchenko and published by Springer. This book was released on 2016-05-02 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as the Jensen-Shannon divergence and the probabilistic neural network. An optimal approximate nearest neighbor search algorithm, which allows faster classification of databases is featured. Rough set theory, sequential analysis and granular computing are used to improve performance of the hierarchical classifiers. Practical examples in face identification (including deep neural networks), isolated commands recognition in voice control system and classification of visemes captured by the Kinect depth camera are included. This approach creates fast and accurate search procedures by using exact probability densities of applied dissimilarity measures. This book can be used as a guide for independent study and as supplementary material for a technically oriented graduate course in intelligent systems and data mining. Students and researchers interested in the theoretical and practical aspects of intelligent classification systems will find answers to: - Why conventional implementation of the naive Bayesian approach does not work well in image classification? - How to deal with insufficient performance of hierarchical classification systems? - Is it possible to prevent an exhaustive search of the nearest neighbor in a database?
Download or read book Classification and Nomenclature of Electroanalytical Techniques written by Sam Stuart and published by Elsevier. This book was released on 2013-10-22 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classification and Nomenclature of Electroanalytical Techniques contains the revised and updated recommendations on electroanalytical classification and nomenclature. This report follows the general lines of its predecessor, but deviates from it in a number of details. The electroanalytical techniques are classified according to the techniques in which neither the electrical double layer nor any electrode reaction need be considered; techniques that involve double-layer phenomena but in which any electrode reactions need not be considered; and techniques involving electrode reactions.