Author: Craig Friedman
Publisher: CRC Press
ISBN: 1420011286
Category : Business & Economics
Languages : en
Pages : 418
Book Description
Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t
Utility-Based Learning from Data
Author: Craig Friedman
Publisher: CRC Press
ISBN: 1420011286
Category : Business & Economics
Languages : en
Pages : 418
Book Description
Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t
Publisher: CRC Press
ISBN: 1420011286
Category : Business & Economics
Languages : en
Pages : 418
Book Description
Utility-Based Learning from Data provides a pedagogical, self-contained discussion of probability estimation methods via a coherent approach from the viewpoint of a decision maker who acts in an uncertain environment. This approach is motivated by the idea that probabilistic models are usually not learned for their own sake; rather, they are used t
Port Security Management
Author: Kenneth Christopher
Publisher: CRC Press
ISBN: 1466583282
Category : House & Home
Languages : en
Pages : 459
Book Description
The term homeland security hardly existed before September 11, 2001, yet today it dominates public policy and the economic agendas of world governments. The transportation industries have been subjected to unprecedented scrutiny and regulatory mandates in recent years, and the port and maritime sector are no exception. Port Security Management reflects this altered landscape of the post-9/11 era, providing real-world guidelines for strategic security planning and implementation processes. Balance security with business needs The book begins with a historical and organizational perspective on maritime and port security. It then discusses the management of risk assessment, presenting it within the context of the unique vulnerabilities within the maritime and port environments. The important relationships between risk analysis, facility security planning, and coordination among port stakeholders—including the public and private sector businesses—provide the framework for understanding the pivotal role of security managers, security personnel, and law enforcement in ensuring the safety and security of port users and their interests. Work cohesively with governmental and private entities The text also addresses the ground-level issues, tasks, and responsibilities that must be managed by the security manager in concert with the port director and federal and local law enforcement agencies. The author explores the growth of multiuse port facilities for recreation, hospitality, and external business and commercial interests and offers perspectives on the role of technology in security. Finally, the book examines the need to develop contingency and emergency operations plans and work effectively with federal, state, local, and private enterprises in coordinating both routine and emergency response mechanisms.
Publisher: CRC Press
ISBN: 1466583282
Category : House & Home
Languages : en
Pages : 459
Book Description
The term homeland security hardly existed before September 11, 2001, yet today it dominates public policy and the economic agendas of world governments. The transportation industries have been subjected to unprecedented scrutiny and regulatory mandates in recent years, and the port and maritime sector are no exception. Port Security Management reflects this altered landscape of the post-9/11 era, providing real-world guidelines for strategic security planning and implementation processes. Balance security with business needs The book begins with a historical and organizational perspective on maritime and port security. It then discusses the management of risk assessment, presenting it within the context of the unique vulnerabilities within the maritime and port environments. The important relationships between risk analysis, facility security planning, and coordination among port stakeholders—including the public and private sector businesses—provide the framework for understanding the pivotal role of security managers, security personnel, and law enforcement in ensuring the safety and security of port users and their interests. Work cohesively with governmental and private entities The text also addresses the ground-level issues, tasks, and responsibilities that must be managed by the security manager in concert with the port director and federal and local law enforcement agencies. The author explores the growth of multiuse port facilities for recreation, hospitality, and external business and commercial interests and offers perspectives on the role of technology in security. Finally, the book examines the need to develop contingency and emergency operations plans and work effectively with federal, state, local, and private enterprises in coordinating both routine and emergency response mechanisms.
Sparse Modeling
Author: Irina Rish
Publisher: CRC Press
ISBN: 1439828709
Category : Business & Economics
Languages : en
Pages : 250
Book Description
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t
Publisher: CRC Press
ISBN: 1439828709
Category : Business & Economics
Languages : en
Pages : 250
Book Description
Sparse models are particularly useful in scientific applications, such as biomarker discovery in genetic or neuroimaging data, where the interpretability of a predictive model is essential. Sparsity can also dramatically improve the cost efficiency of signal processing.Sparse Modeling: Theory, Algorithms, and Applications provides an introduction t
Regularization, Optimization, Kernels, and Support Vector Machines
Author: Johan A.K. Suykens
Publisher: CRC Press
ISBN: 1482241404
Category : Computers
Languages : en
Pages : 522
Book Description
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
Publisher: CRC Press
ISBN: 1482241404
Category : Computers
Languages : en
Pages : 522
Book Description
Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vecto
Ensemble Methods
Author: Zhi-Hua Zhou
Publisher: CRC Press
ISBN: 1439830037
Category : Business & Economics
Languages : en
Pages : 238
Book Description
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Publisher: CRC Press
ISBN: 1439830037
Category : Business & Economics
Languages : en
Pages : 238
Book Description
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Multi-Label Dimensionality Reduction
Author: Liang Sun
Publisher: CRC Press
ISBN: 1439806160
Category : Business & Economics
Languages : en
Pages : 206
Book Description
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
Publisher: CRC Press
ISBN: 1439806160
Category : Business & Economics
Languages : en
Pages : 206
Book Description
Similar to other data mining and machine learning tasks, multi-label learning suffers from dimensionality. An effective way to mitigate this problem is through dimensionality reduction, which extracts a small number of features by removing irrelevant, redundant, and noisy information. The data mining and machine learning literature currently lacks
Bayesian Programming
Author: Pierre Bessiere
Publisher: CRC Press
ISBN: 1439880336
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in natur
Publisher: CRC Press
ISBN: 1439880336
Category : Business & Economics
Languages : en
Pages : 380
Book Description
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in natur
New Frontiers in Applied Data Mining
Author: Longbing Cao
Publisher: Springer Science & Business Media
ISBN: 3642283195
Category : Computers
Languages : en
Pages : 526
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.
Publisher: Springer Science & Business Media
ISBN: 3642283195
Category : Computers
Languages : en
Pages : 526
Book Description
This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.
Computational Business Analytics
Author: Subrata Das
Publisher: CRC Press
ISBN: 1439890706
Category : Business & Economics
Languages : en
Pages : 517
Book Description
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.
Publisher: CRC Press
ISBN: 1439890706
Category : Business & Economics
Languages : en
Pages : 517
Book Description
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for descriptive, predictive, and prescriptive analytics applicable across multiple domains. Through many examples and challenging case studies from a variety of fields, practitioners easily see the connections to their own problems and can then formulate their own solution strategies. The book first covers core descriptive and inferential statistics for analytics. The author then enhances numerical statistical techniques with symbolic artificial intelligence (AI) and machine learning (ML) techniques for richer predictive and prescriptive analytics. With a special emphasis on methods that handle time and textual data, the text: Enriches principal component and factor analyses with subspace methods, such as latent semantic analyses Combines regression analyses with probabilistic graphical modeling, such as Bayesian networks Extends autoregression and survival analysis techniques with the Kalman filter, hidden Markov models, and dynamic Bayesian networks Embeds decision trees within influence diagrams Augments nearest-neighbor and k-means clustering techniques with support vector machines and neural networks These approaches are not replacements of traditional statistics-based analytics; rather, in most cases, a generalized technique can be reduced to the underlying traditional base technique under very restrictive conditions. The book shows how these enriched techniques offer efficient solutions in areas, including customer segmentation, churn prediction, credit risk assessment, fraud detection, and advertising campaigns.
Advances in Automation II
Author: Andrey A. Radionov
Publisher: Springer Nature
ISBN: 3030711196
Category : Technology & Engineering
Languages : en
Pages : 1007
Book Description
This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, power engineering, control engineering, instrumentation, signal processing and cybersecurity, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as safety. Based on the International Russian Automation Conference, held on September 6–12, 2020, in Sochi, Russia, the book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems, and fosters new ideas and collaborations between groups in different countries.
Publisher: Springer Nature
ISBN: 3030711196
Category : Technology & Engineering
Languages : en
Pages : 1007
Book Description
This book reports on innovative research and developments in automation. Spanning a wide range of disciplines, including communication engineering, power engineering, control engineering, instrumentation, signal processing and cybersecurity, it focuses on methods and findings aimed at improving the control and monitoring of industrial and manufacturing processes as well as safety. Based on the International Russian Automation Conference, held on September 6–12, 2020, in Sochi, Russia, the book provides academics and professionals with a timely overview of and extensive information on the state of the art in the field of automation and control systems, and fosters new ideas and collaborations between groups in different countries.