Lazy Learning PDF Download

Author: David W. Aha
Publisher: Springer Science & Business Media
ISBN: 9401720533
Category : Computers
Languages : en
Pages : 421

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Book Description
This edited collection describes recent progress on lazy learning, a branch of machine learning concerning algorithms that defer the processing of their inputs, reply to information requests by combining stored data, and typically discard constructed replies. It is the first edited volume in AI on this topic, whose many synonyms include `instance-based', `memory-based'. `exemplar-based', and `local learning', and whose topic intersects case-based reasoning and edited k-nearest neighbor classifiers. It is intended for AI researchers and students interested in pursuing recent progress in this branch of machine learning, but, due to the breadth of its contributions, it should also interest researchers and practitioners of data mining, case-based reasoning, statistics, and pattern recognition.

Author: Lakhmi C. Jain
Publisher: Physica
ISBN: 3790818038
Category : Computers
Languages : en
Pages : 477

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Book Description
Learning is a key issue in the analysis and design of all kinds of intelligent systems. In recent time many new paradigms of automated (machine) learning have been proposed in the literature. Soft computing, that has proved to be an effective and efficient tool in so many areas of science and technology, seems to offer new qualities in the realm of machine learning too. The purpose of this volume is to present some new learning paradigms that have been triggered, or at least strongly influenced by soft computing tools and techniques, mainly related to neural networks, fuzzy logic, rough sets, and evolutionary computations.

Author: Pit Pichappan
Publisher: Springer Science & Business Media
ISBN: 364227336X
Category : Computers
Languages : en
Pages : 445

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Book Description
This book constitutes the proceedings of the First International Conference on Innovative Computing Technology, INCT 2011, held in Tehran, Iran, in December 2011. The 40 revised papers included in this book were carefully reviewed and selected from 121 submissions. The contributions are organized in topical sections on software; Web services and service architecture; computational intelligence; data modeling; multimedia and image segmentation; natural language processing; networks; cluster computing; and discrete systems.

Author: Tucker Balch
Publisher: CRC Press
ISBN: 1439863679
Category : Computers
Languages : en
Pages : 436

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Book Description
This is a comprehensive volume on robot teams that will be the standard reference on multi-robot systems. The volume provides not only the essentials of multi-agent robotics theory but also descriptions of exemplary implemented systems demonstrating the key concepts of multi-robot research. Information is presented in a descriptive manner and augme

Author: Barbara Oakley, PhD
Publisher: Penguin
ISBN: 052550446X
Category : Juvenile Nonfiction
Languages : en
Pages : 258

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Book Description
A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.

Author: Kendra Adachi
Publisher: WaterBrook
ISBN: 0525653910
Category : Psychology
Languages : en
Pages : 242

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Book Description
Be productive without sacrificing peace of mind using Lazy Genius principles that help you focus on what really matters and let go of what doesn't. If you need a comprehensive strategy for a meaningful life but are tired of reading stacks of self-help books, here is an easy way that actually works. No more cobbling together life hacks and productivity strategies from dozens of authors and still feeling tired. The struggle is real, but it doesn't have to be in charge. With wisdom and wit, the host of The Lazy Genius Podcast, Kendra Adachi, shows you that it's not about doing more or doing less; it's about doing what matters to you. In this book, she offers fourteen principles that are both practical and purposeful, like a Swiss army knife for how to be a person. Use them in combination to "lazy genius" anything, from laundry and meal plans to making friends and napping without guilt. It's possible to be soulful and efficient at the same time, and this book is the blueprint. The Lazy Genius Way isn't a new list of things to do; it's a new way to see. Skip the rules about getting up at 5 a.m. and drinking more water. Let's just figure out how to be a good person who can get stuff done without turning into The Hulk. These Lazy Genius principles--such as Decide Once, Start Small, Ask the Magic Question, and more--offer a better way to approach your time, relationships, and piles of mail, no matter your personality or life stage. Be who you already are, just with a better set of tools.

Author: Ran Chen
Publisher: Springer
ISBN: 3642181295
Category : Computers
Languages : en
Pages : 793

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Book Description
This two-volume set (CCIS 134 and CCIS 135) constitutes the refereed proceedings of the International Conference on Intelligent Computing and Information Science, ICICIS2011, held in Chongqing, China, in January 2011. The 226 revised full papers presented in both volumes, CCIS 134 and CCIS 135, were carefully reviewed and selected from over 600 initial submissions. The papers provide the reader with a broad overview of the latest advances in the field of intelligent computing and information science.

Author: Maarten van Someren
Publisher: Springer Science & Business Media
ISBN: 9783540628583
Category : Computers
Languages : en
Pages : 380

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Book Description
This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. Also included are an abstract and two papers corresponding to the invited talks as well as descriptions from four satellite workshops. The volume covers the whole spectrum of current machine learning issues.

Author: Bernadete Ribeiro
Publisher: Springer Science & Business Media
ISBN: 9783211249345
Category : Computers
Languages : en
Pages : 568

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Book Description
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.

Author: Zhi-Hua Zhou
Publisher: Springer Nature
ISBN: 9811519676
Category : Computers
Languages : en
Pages : 460

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Book Description
Machine Learning, a vital and core area of artificial intelligence (AI), is propelling the AI field ever further and making it one of the most compelling areas of computer science research. This textbook offers a comprehensive and unbiased introduction to almost all aspects of machine learning, from the fundamentals to advanced topics. It consists of 16 chapters divided into three parts: Part 1 (Chapters 1-3) introduces the fundamentals of machine learning, including terminology, basic principles, evaluation, and linear models; Part 2 (Chapters 4-10) presents classic and commonly used machine learning methods, such as decision trees, neural networks, support vector machines, Bayesian classifiers, ensemble methods, clustering, dimension reduction and metric learning; Part 3 (Chapters 11-16) introduces some advanced topics, covering feature selection and sparse learning, computational learning theory, semi-supervised learning, probabilistic graphical models, rule learning, and reinforcement learning. Each chapter includes exercises and further reading, so that readers can explore areas of interest. The book can be used as an undergraduate or postgraduate textbook for computer science, computer engineering, electrical engineering, data science, and related majors. It is also a useful reference resource for researchers and practitioners of machine learning.