Neuromodales Recruiting
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Neuromodales Recruiting
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Author : Guenther Hansen
language : de
Publisher: BoD – Books on Demand
Release Date : 2024-01-31
Neuromodales Recruiting written by Guenther Hansen and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-31 with Business & Economics categories.
Die wichtigste Informationsquelle in der Personalauswahl ist nach wie vor das Einstellungsinterview. Wie immer sich die Zukunft des Recruitings auch entwickeln wird, der persönliche Kontakt bleibt unverzichtbar. Diesen im Sinne eines optimalen Informationsgewinns zu gestalten, ist die Botschaft dieses Buches.
Neural Networks And Deep Learning
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Author : Charu C. Aggarwal
language : en
Publisher: Springer
Release Date : 2018-08-25
Neural Networks And Deep Learning written by Charu C. Aggarwal and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-25 with Computers categories.
This book covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems. Applications associated with many different areas like recommender systems, machine translation, image captioning, image classification, reinforcement-learning based gaming, and text analytics are covered. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.
Stochastic Models For Geodesy And Geoinformation Science
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Author : Frank Neitzel
language : en
Publisher: MDPI
Release Date : 2021-02-12
Stochastic Models For Geodesy And Geoinformation Science written by Frank Neitzel and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-12 with Technology & Engineering categories.
In geodesy and geoinformation science, as well as in many other technical disciplines, it is often not possible to directly determine the desired target quantities. Therefore, the unknown parameters must be linked with the measured values by a mathematical model which consists of the functional and the stochastic models. The functional model describes the geometrical–physical relationship between the measurements and the unknown parameters. This relationship is sufficiently well known for most applications. With regard to the stochastic model, two problem domains of fundamental importance arise: 1. How can stochastic models be set up as realistically as possible for the various geodetic observation methods and sensor systems? 2. How can the stochastic information be adequately considered in appropriate least squares adjustment models? Further questions include the interpretation of the stochastic properties of the computed target values with regard to precision and reliability and the use of the results for the detection of outliers in the input data (measurements). In this Special Issue, current research results on these general questions are presented in ten peer-reviewed articles. The basic findings can be applied to all technical scientific fields where measurements are used for the determination of parameters to describe geometric or physical phenomena.
The Foundations Of Positive And Normative Economics
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Author : Andrew Caplin
language : en
Publisher: Oxford University Press
Release Date : 2010-06-25
The Foundations Of Positive And Normative Economics written by Andrew Caplin and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-25 with Social Science categories.
The Foundations of Positive and Normative Economics: A Handbook is the first book in a new series by Andrew Caplin and Andrew Schotter. There is currently no guide available on the rapidly changing methodological frontiers of the field of economics. Economists have been introducing new theories and new sources of data at a remarkable rate in recent years, and there are widely divergent views both on how productive these expansions have been in the past, and how best to make progress in the future. The speed of these changes has left economists ill at ease, and has created a backlash against new methods. The series will debate these critical issues, allowing proponents of a particular research method to present proposals in a safe yet critical context, with alternatives being clarified. This first volume, written by some of the most prominent researchers in the discipline, reflects the challenges that are opened by new research opportunities. The goal of the current volume and the series it presages, is to formally open a dialog on methodology. The editors' conviction is that such a debate will rebound to the benefit of social science in general, and economics in particular. The issues under discussion strike to the very heart of the social scientific enterprise. This work is of tremendous importance to all who are interested in the contributions that academic research can make not only to our scientific understanding, but also to matters of policy.
Modeling Bounded Rationality
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Author : Ariel Rubinstein
language : en
Publisher: MIT Press
Release Date : 1998
Modeling Bounded Rationality written by Ariel Rubinstein and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Business & Economics categories.
The notion of bounded rationality was initiated in the 1950s by Herbert Simon; only recently has it influenced mainstream economics. In this book, Ariel Rubinstein defines models of bounded rationality as those in which elements of the process of choice are explicitly embedded. The book focuses on the challenges of modeling bounded rationality, rather than on substantial economic implications. In the first part of the book, the author considers the modeling of choice. After discussing some psychological findings, he proceeds to the modeling of procedural rationality, knowledge, memory, the choice of what to know, and group decisions.In the second part, he discusses the fundamental difficulties of modeling bounded rationality in games. He begins with the modeling of a game with procedural rational players and then surveys repeated games with complexity considerations. He ends with a discussion of computability constraints in games. The final chapter includes a critique by Herbert Simon of the author's methodology and the author's response. The Zeuthen Lecture Book series is sponsored by the Institute of Economics at the University of Copenhagen.
Meta Learning In Decision Tree Induction
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Author : Krzysztof Grąbczewski
language : en
Publisher: Springer
Release Date : 2013-09-11
Meta Learning In Decision Tree Induction written by Krzysztof Grąbczewski and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-11 with Technology & Engineering categories.
The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as different ensemble methods that involve decision trees. It is shown that the knowledge of different components used within decision tree learning needs to be systematized to enable the system to generate and evaluate different variants of machine learning algorithms with the aim of identifying the top-most performers or potentially the best one. A unified view of decision tree learning enables to emulate different decision tree algorithms simply by setting certain parameters. As meta-learning requires running many different processes with the aim of obtaining performance results, a detailed description of the experimental methodology and evaluation framework is provided. Meta-learning is discussed in great detail in the second half of the book. The exposition starts by presenting a comprehensive review of many meta-learning approaches explored in the past described in literature, including for instance approaches that provide a ranking of algorithms. The approach described can be related to other work that exploits planning whose aim is to construct data mining workflows. The book stimulates interchange of ideas between different, albeit related, approaches.
Machine Learning
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Author : R.S. Michalski
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Machine Learning written by R.S. Michalski and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Computers categories.
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed interest has spawned many new research projects and resulted in an increase in related scientific activities. In the summer of 1980, the First Machine Learning Workshop was held at Carnegie-Mellon University in Pittsburgh. In the same year, three consecutive issues of the Inter national Journal of Policy Analysis and Information Systems were specially devoted to machine learning (No. 2, 3 and 4, 1980). In the spring of 1981, a special issue of the SIGART Newsletter No. 76 reviewed current research projects in the field. . This book contains tutorial overviews and research papers representative of contemporary trends in the area of machine learning as viewed from an artificial intelligence perspective. As the first available text on this subject, it is intended to fulfill several needs.
Breakdown Of Will
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Author : George Ainslie
language : en
Publisher: Cambridge University Press
Release Date : 2001-03-19
Breakdown Of Will written by George Ainslie and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-19 with Business & Economics categories.
Ainslie argues that our responses to the threat of our own inconsistency determine the basic fabric of human culture. He suggests that individuals are more like populations of bargaining agents than like the hierarchical command structures envisaged by cognitive psychologists. The forces that create and constrain these populations help us understand so much that is puzzling in human action and interaction: from addictions and other self-defeating behaviors to the experience of willfulness, from pathological over-control and self-deception to subtler forms of behavior such as altruism, sadism, gambling, and the 'social construction' of belief. This book integrates approaches from experimental psychology, philosophy of mind, microeconomics, and decision science to present one of the most profound and expert accounts of human irrationality available. It will be of great interest to philosophers and an important resource for professionals and students in psychology, economics and political science.
Foundational Issues In Human Brain Mapping
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Author : Stephen José Hanson
language : en
Publisher: Bradford Books
Release Date : 2010
Foundational Issues In Human Brain Mapping written by Stephen José Hanson and has been published by Bradford Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Medical categories.
The field of neuroimaging has reached a watershed and critiques and emerging trends are raising foundational issues of methodology, measurement, and theory. Here, scholars reexamine these issues and explore controversies that have arisen in cognitive science, cognitive neuroscience, computer science, and signal processing.
Choice Behavioral Economics And Addiction
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Author : Rudolph Eugene Vuchinich
language : en
Publisher: Elsevier
Release Date : 2003-11-13
Choice Behavioral Economics And Addiction written by Rudolph Eugene Vuchinich and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-13 with Computers categories.
Choice, Behavioural Economics and Addiction is about the theory, data, and applied implications of choice-based models of substance use and addiction. The distinction between substance use and addiction is important, because many individuals use substances but are not also addicted to them. The behavioural economic perspective has made contributions to the analysis of both of these phenomena and, while the major focus of the book is on theories of addiction, it is necessary also to consider the behavioural economic account of substance use in order to place the theories in their proper context and provide full coverage of the contribution of behavioural economics to this field of study. The book discusses the four major theories of addiction that have been developed in the area of economic science/behavioural economics. They are: . hyperbolic discounting . melioration . relative addiction . rational addiction The main objective of the book is to popularise these ideas among addiction researchers, academics and practitioners. The specific aims are to articulate the shared and distinctive elements of these four theories, to present and discuss the latest empirical work on substance abuse and addiction that is being conducted in this area, and to articulate a range of applied implications of this body of work for clinical, public health and public policy initiatives. The book is based on an invitation-only conference entitled, Choice, Behavioural Economics and Addiction: Theory, Evidence and Applications held at the University of Alabama at Birmingham, March 30 - April 1, 2001. The conference was attended by prominent scientists and scholars, representing a range of disciplines concerned with theories of addiction and their consequences for policy and practice. The papers in the book are based on the papers given at the above conference, together with commentaries by distinguished experts and, in many cases, replies to these comments by the presenters.