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“haibo he”

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  • Self-Adaptive Systems for Machine Intelligence

    by Haibo He ...
    This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and ... Read more

    $90.00 USD

  • Imbalanced Learning

    Foundations, Algorithms, and Applications

    Edited by Haibo He, Yunqian Ma ...
    The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learningImbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning problems is critical in numerous data-intensive networked systems, including surveillance, security, ... Read more

    $114.00 USD

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  • Automated Machine Learning

    Methods, Systems, Challenges

    Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Series series The Springer Series on Challenges in Machine Learning
    This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML ... Read more

    Free

  • Advances in Artificial Intelligence

    31st Canadian Conference on Artificial Intelligence, Canadian AI 2018, Toronto, ON, Canada, May 8–11, 2018, Proceedings

    Edited by Ebrahim Bagheri, Jackie C.K. Cheung ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 31th Canadian Conference on Artificial Intelligence, Canadian AI 2018, held in Toronto, ON, Canada, in May 2018.The 16 regular papers and 18 short papers presented together with 7 Graduate Student Symposium papers and 4 Industry Track papers were carefully reviewed and selected from 72 submissions. The focus of the conference was on artificial ... Read more

    $49.99 USD

  • Active Learning

    by Burr Settles ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well ... Read more

    $35.99 USD

  • Federated and Transfer Learning

    Edited by Roozbeh Razavi-Far, Boyu Wang, Matthew E. Taylor, Qiang Yang ...
    Series series Intelligent Technologies and Robotics (R0)
    This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become ... Read more

    $161.09 USD

  • Advances in Knowledge Discovery and Data Mining

    27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, Osaka, Japan, May 25–28, 2023, Proceedings, Part I

    Edited by Hisashi Kashima, Tsuyoshi Ide, Wen-Chih Peng ...
    Series Book 1 - Springer Nature Proceedings Computer Science
    The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development ... Read more

    $80.99 USD

  • Advances in Modeling and Simulation

    Seminal Research from 50 Years of Winter Simulation Conferences

    Edited by Enver Yücesan, Guodong Shao, Andreas Tolk, John Fowler ...
    Series series Computer Science (R0)
    This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the ... Read more

    $89.09 USD

  • Data Mining: Concepts and Techniques

    by Jiawei Han, Micheline Kamber, Jian Pei ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Read more

    $67.49 USD

  • xxAI - Beyond Explainable AI

    International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers

    Edited by Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek ...
    Series series Computer Science (R0)
    This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the ... Read more

    Free

  • Cluster Analysis

    by Brian S. Everitt, Sabine Landau, Morven Leese, Daniel Stahl ...
    Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.This fifth edition of the highly ... Read more

    $81.00 USD

  • Parallel Population and Parallel Human

    A Cyber-Physical Social Approach

    by Peijun Ye, Fei-Yue Wang ...
    Series series IEEE Press Series on Systems Science and Engineering
    Parallel Population and Parallel HumanProposes a new paradigm to investigate an individual’s cognitive deliberation in dynamic human-machine interactionsToday, intelligent machines enable people to interact remotely with friends, family, romantic partners, colleagues, competitors, organizations, and others. Virtual reality (VR), augmented reality (AR), artificial intelligence (AI), mobile social ... Read more

    $111.00 USD