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Simulated Evolution and Learning
This volume constitutes the proceedings of the 10th International Conference on Simulated Evolution and Learning, SEAL 2012, held in Dunedin, New Zealand, in December 2014. The 42 full papers and 29 short papers presented were carefully reviewed and selected from 109 submissions. The papers are organized in topical sections on evolutionary optimization; evolutionary multi-objective optimization; evolutionary machine learning; theoretical developments; evolutionary feature reduction; evolutionary scheduling and combinatorial optimization; real world applications and evolutionary image analysis.
Computers and Games
This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Computers and Games, CG 2016, held in Leiden, The Netherlands,in conjunction with the 19th Computer Olympiad and the 22nd World Computer-Chess Championship. The 20 papers presented were carefully reviewed and selected of 30 submitted papers. The 20 papers cover a wide range of computer games and many different research topics in four main classes which determined the order of publication: Monte Carlo Tree Search (MCTS) and its enhancements (seven papers), concrete games (seven papers), theoretical aspects and complexity (five papers) and cognition model (one paper). The paper Using Partial Tablebases in Breakthrough by Andrew Isaac and Richard Lorentz received the Best Paper Award.
Deep Learning Foundations
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning, deep neural networks, and textual deep learning. The first part provides traditional supervised learning, traditional unsupervised learning, and ensemble learning, as the preparation for studying deep learning algorithms. The second part deals with modification of existing machine learning algorithms into deep learning algorithms. The book’s third part deals with deep neural networks, such as Multiple Perceptron, Recurrent Networks, Restricted Boltzmann Machine, and Convolutionary Neural Networks. The last part provides deep learning techniques that are specialized for text mining tasks. The book is relevant for researchers, academics, students, and professionals in machine learning.
Don't Write Me Off
Dont Write Me Off is a heart-to-heart leadership narrative designed to inspire, motivate, educate and coach the youths and emerging leaders to take the lead. Filled with inspiring and exciting anecdotes, the author draws substantially from her personal experience to help unleash your genius! Rather than write yourself off because of your background, painful past, mistakes, inadequacies or failures, you can rise up and become a person of influence. This user friendly, upbeat, enjoyable and concise leadership manual will coach you. Yes, you too can become the difference maker in your earth space.
Biology Ebook
Biology Ebook
Seed to Harvest
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Understanding Penal Practice
Criminological and penological scholarship has in recent years explored how and why institutions and systems of punishment change – and how and why these changes differ in different contexts. Important though these analyses are, this book focuses not so much on the changing nature of institutions and systems, but rather the changing nature of penal practice and practitioners Bringing together leading researchers from around the world, this collection unites studies that aim to describe and critically analyse penal practice with studies that investigate its effectiveness and prescribe its future development. Reversing penology’s usual preoccupation with the prison, the book focuses mainly...
Letters
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