The Theory Of Perfect Learning
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The Theory Of Perfect Learning
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Author : Nonvikan Karl-Augustt Alahassa
language : en
Publisher: Nonvikan Karl-Augustt Alahassa
Release Date : 2021-08-17
The Theory Of Perfect Learning written by Nonvikan Karl-Augustt Alahassa and has been published by Nonvikan Karl-Augustt Alahassa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-17 with Science categories.
The perfect learning exists. We mean a learning model that can be generalized, and moreover, that can always fit perfectly the test data, as well as the training data. We have performed in this thesis many experiments that validate this concept in many ways. The tools are given through the chapters that contain our developments. The classical Multilayer Feedforward model has been re-considered and a novel $N_k$-architecture is proposed to fit any multivariate regression task. This model can easily be augmented to thousands of possible layers without loss of predictive power, and has the potential to overcome our difficulties simultaneously in building a model that has a good fit on the test data, and don't overfit. His hyper-parameters, the learning rate, the batch size, the number of training times (epochs), the size of each layer, the number of hidden layers, all can be chosen experimentally with cross-validation methods. There is a great advantage to build a more powerful model using mixture models properties. They can self-classify many high dimensional data in a few numbers of mixture components. This is also the case of the Shallow Gibbs Network model that we built as a Random Gibbs Network Forest to reach the performance of the Multilayer feedforward Neural Network in a few numbers of parameters, and fewer backpropagation iterations. To make it happens, we propose a novel optimization framework for our Bayesian Shallow Network, called the {Double Backpropagation Scheme} (DBS) that can also fit perfectly the data with appropriate learning rate, and which is convergent and universally applicable to any Bayesian neural network problem. The contribution of this model is broad. First, it integrates all the advantages of the Potts Model, which is a very rich random partitions model, that we have also modified to propose its Complete Shrinkage version using agglomerative clustering techniques. The model takes also an advantage of Gibbs Fields for its weights precision matrix structure, mainly through Markov Random Fields, and even has five (5) variants structures at the end: the Full-Gibbs, the Sparse-Gibbs, the Between layer Sparse Gibbs which is the B-Sparse Gibbs in a short, the Compound Symmetry Gibbs (CS-Gibbs in short), and the Sparse Compound Symmetry Gibbs (Sparse-CS-Gibbs) model. The Full-Gibbs is mainly to remind fully-connected models, and the other structures are useful to show how the model can be reduced in terms of complexity with sparsity and parsimony. All those models have been experimented, and the results arouse interest in those structures, in a sense that different structures help to reach different results in terms of Mean Squared Error (MSE) and Relative Root Mean Squared Error (RRMSE). For the Shallow Gibbs Network model, we have found the perfect learning framework : it is the $(l_1, \boldsymbol{\zeta}, \epsilon_{dbs})-\textbf{DBS}$ configuration, which is a combination of the \emph{Universal Approximation Theorem}, and the DBS optimization, coupled with the (\emph{dist})-Nearest Neighbor-(h)-Taylor Series-Perfect Multivariate Interpolation (\emph{dist}-NN-(h)-TS-PMI) model [which in turn is a combination of the research of the Nearest Neighborhood for a good Train-Test association, the Taylor Approximation Theorem, and finally the Multivariate Interpolation Method]. It indicates that, with an appropriate number $l_1$ of neurons on the hidden layer, an optimal number $\zeta$ of DBS updates, an optimal DBS learnnig rate $\epsilon_{dbs}$, an optimal distance \emph{dist}$_{opt}$ in the research of the nearest neighbor in the training dataset for each test data $x_i^{\mbox{test}}$, an optimal order $h_{opt}$ of the Taylor approximation for the Perfect Multivariate Interpolation (\emph{dist}-NN-(h)-TS-PMI) model once the {\bfseries DBS} has overfitted the training dataset, the train and the test error converge to zero (0). As the Potts Models and many random Partitions are based on a similarity measure, we open the door to find \emph{sufficient} invariants descriptors in any recognition problem for complex objects such as image; using \emph{metric} learning and invariance descriptor tools, to always reach 100\% accuracy. This is also possible with invariant networks that are also universal approximators. Our work closes the gap between the theory and the practice in artificial intelligence, in a sense that it confirms that it is possible to learn with very small error allowed.
Contemporary Theories Of Learning
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Author : Knud Illeris
language : en
Publisher: Routledge
Release Date : 2018-03-27
Contemporary Theories Of Learning written by Knud Illeris and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-27 with Education categories.
This tenth anniversary edition of Knud Illeris’s classic 2008 text is an updated and definitive collection of today’s most influential learning theorists, now containing additional chapters from John Hattie and Gregory Donoghue, Sharan Merriam, Gert Biesta and Carolyn Jackson. This book brings together world-renowned experts, who each present their understanding of what learning is and how human learning takes place, addressing the social, psychological and emotional contexts of learning. In this clear and coherent overview, Professor Knud Illeris has collated chapters that explain both the complex frameworks in which learning takes place and the specific facets of learning. Each international expert provides either a seminal text or an entirely new précis of the conceptual framework they have developed over a lifetime of study, such as adult learning theory, learning strategies, and the cultural and social nature of learning processes. Elucidating the key concepts of learning, Contemporary Theories of Learning provides both the perfect desk reference and an ideal introduction for students; it is an invaluable resource for all researchers and academics involved in the study of learning, and provides a detailed synthesis of current learning theories... all in the words of the theorists themselves.
The Theory Practice Of Learning
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Author : Peter Jarvis
language : en
Publisher: Psychology Press
Release Date : 2003
The Theory Practice Of Learning written by Peter Jarvis and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Education categories.
'The Theory and Practice of Learning' explores the basic theories of learning, how they have developed, and how they can be put into practice.
Adult Learning
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Author : Sharan B. Merriam
language : en
Publisher: John Wiley & Sons
Release Date : 2013-09-03
Adult Learning written by Sharan B. Merriam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-03 with Education categories.
Solidly grounded in theory and research, but concise and practice-oriented, Adult Learning: Linking Theory and Practice is perfect for master’s-level students and practitioners alike. Sharan Merriam and Laura Bierema have infused each chapter with practical applications for instruction which will help readers personally relate to the material. The contents covers: Adult Learning in Today’s World Traditional Learning Theories Andragogy Self-Directed Learning Transformative Learning Experience and Learning Body and Spirit in Learning Motivation and Learning The Brain and Cognitive Functioning Adult Learning in the Digital Age Critical Thinking and Critical Perspectives Culture and Context Discussion questions and activities for reflection are included at the end of each chapter.
How Learning Works
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Author : Susan A. Ambrose
language : en
Publisher: John Wiley & Sons
Release Date : 2010-04-16
How Learning Works written by Susan A. Ambrose and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-16 with Education categories.
Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning
Perfect Learning Systems
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Author : Speedread.org
language : en
Publisher:
Release Date : 2009-12
Perfect Learning Systems written by Speedread.org and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-12 with categories.
Managing Risk
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Author : Romney Beecher Duffey
language : en
Publisher: John Wiley & Sons
Release Date : 2008-09-15
Managing Risk written by Romney Beecher Duffey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-15 with Computers categories.
The human element is the principle cause of incidents and accidents in all technology industries; hence it is evident that an understanding of the interaction between humans and technology is crucial to the effective management of risk. Despite this, no tested model that explicitly and quantitatively includes the human element in risk prediction is currently available. Managing Risk: the Human Element combines descriptive and explanatory text with theoretical and mathematical analysis, offering important new concepts that can be used to improve the management of risk, trend analysis and prediction, and hence affect the accident rate in technological industries. It uses examples of major accidents to identify common causal factors, or “echoes”, and argues that the use of specific experience parameters for each particular industry is vital to achieving a minimum error rate as defined by mathematical prediction. New ideas for the perception, calculation and prediction of risk are introduced, and safety management is covered in depth, including for rare events and “unknown” outcomes Discusses applications to multiple industries including nuclear, aviation, medical, shipping, chemical, industrial, railway, offshore oil and gas; Shows consistency between learning for large systems and technologies with the psychological models of learning from error correction at the personal level; Offers the expertise of key leading industry figures involved in safety work in the civil aviation and nuclear engineering industries; Incorporates numerous fascinating case studies of key technological accidents. Managing Risk: the Human Element is an essential read for professional safety experts, human reliability experts and engineers in all technological industries, as well as risk analysts, corporate managers and statistical analysts. It is also of interest to professors, researchers and postgraduate students of reliability and safety engineering, and to experts in human performance. “...congratulations on what appears to be, at a high level of review, a significant contribution to the literature...I have found much to be admired in (your) research” Mr. Joseph Fragola – Vice President of Valador Inc. “The book is not only technically informative, but also attractive to all concerned readers and easy to be comprehended at various level of educational background. It is truly an excellent book ever written for the safety risk managers and analysis professionals in the engineering community, especially in the high reliability organizations...” Dr Feng Hsu, Head of Risk Assessment and Management, NASA Goddard Space Flight Center “I admire your courage in confronting your theoretical ideas with such diverse, ecologically valid data, and your success in capturing a major trend in them....I should add that I find all this quite inspiring . ...The idea that you need to find the right measure of accumulated experience and not just routinely used calendar time makes so much sense that it comes as a shock to realize that this is a new idea”, Professor Stellan Ohlsson, Professor of Psychology, University of Illinois at Chicago
Probability
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Author : Leo Breiman
language : en
Publisher: SIAM
Release Date : 1968-01-01
Probability written by Leo Breiman and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968-01-01 with Mathematics categories.
Approximation of Large-Scale Dynamical Systems
Literary Bulletin
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Author :
language : en
Publisher:
Release Date : 1891
Literary Bulletin written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1891 with American literature categories.
The Literary News
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Author :
language : en
Publisher:
Release Date : 1890
The Literary News written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1890 with American literature categories.