Tag: Learning

Free Download Machine Learning in Farm Animal Behavior using Python
by Natasa Kleanthous and Abir Hussain
English | 2025 | ISBN: 1032628634 | 394 Pages | ePUB | 11.6 MB

Free Download Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers By Parisa Eslambolchilar, Roderick Murray-Smith (auth.), Steve Renals, Samy Bengio, Jonathan G. Fiscus (eds.)
2006 | 470 Pages | ISBN: 3540692673 | PDF | 8 MB
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006.The 39 revised full papers presented together with one invited paper were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, and NIST meeting recognition evaluation.

Free Download Machine Learning and Robot Perception By Mario Mata, Jose Maria Armingol (auth.), Professor Bruno Apolloni, Professor Ashish Ghosh, Professor Ferda Alpaslan, Professor Lakhmi C. Jain, Professor Srikanta Patnaik (eds.)
2005 | 354 Pages | ISBN: 354026549X | PDF | 10 MB
This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Free Download Machine Learning and Granular Computing: A Synergistic Design Environment (Studies in Big Data, 155) by Witold Pedrycz, Shyi-Ming Chen
English | September 22, 2024 | ISBN: 3031668413 | 360 pages | MOBI | 41 Mb
This volume provides the reader with a comprehensive and up-to-date treatise positioned at the junction of the areas of Machine Learning (ML) and Granular Computing (GrC). ML offers a wealth of architectures and learning methods. Granular Computing addresses useful aspects of abstraction and knowledge representation that are of importance in the advanced design of ML architectures. In unison, ML and GrC support advances of the fundamental learning paradigm. As built upon synergy, this unified environment focuses on a spectrum of methodological and algorithmic issues, discusses implementations and elaborates on applications. The chapters bring forward recent developments showing ways of designing synergistic and coherently structured ML-GrC environment. The book will be of interest to a broad audience including researchers and practitioners active in the area of ML or GrC and interested in following its timely trends and new pursuits.

Free Download Learning to Be Fair: Equity from Classical Philosophy to Contemporary Politics
by Charles McNamara
English | 2024 | ISBN: 1506495095 | 176 Pages | True ePUB | 2 MB

Free Download Maxwell Edwards, "Learning Strategies, Expectations and Challenges "
English | ISBN: 1620817527 | 2012 | 179 pages | PDF | 5 MB
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Free Download IGI EPUB Test Book 85×11
by IGI Global
English | 2024 | ISBN: 9798369338841 | 308 pages | True PDF EPUB | 14.92 MB

Free Download Applications of Game Theory in Deep Learning (SpringerBriefs in Computer Science) by Tanmoy Hazra, Kushal Anjaria, Aditi Bajpai
English | March 20, 2024 | ISBN: 3031546520 | 96 pages | MOBI | 0.96 Mb
This book aims to unravel the complex tapestry that interweaves strategic decision-making models with the forefront of deep learning techniques. Applications of Game Theory in Deep Learning provides an extensive and insightful exploration of game theory in deep learning, diving deep into both the theoretical foundations and the real-world applications that showcase this intriguing intersection of fields. Starting with the essential foundations for comprehending both game theory and deep learning, delving into the individual significance of each field, the book culminates in a nuanced examination of Game Theory’s pivotal role in augmenting and shaping the development of Deep Learning algorithms. By elucidating the theoretical underpinnings and practical applications of this synergistic relationship, we equip the reader with a comprehensive understanding of their combined potential. In our digital age, where algorithms and autonomous agents are becoming more common, the combination of game theory and deep learning has opened a new frontier of exploration. The combination of these two disciplines opens new and exciting avenues. We observe how artificial agents can think strategically, adapt to ever-shifting environments, and make decisions that are consistent with their goals and the dynamics of their surroundings. This book presents case studies, methodologies, and real-world applications.

Free Download Advances in Web Based Learning – ICWL 2006: 5th International Conference, Penang, Malaysia, July 19-21, 2006. Revised Papers By Won Kim (auth.), Wenyin Liu, Qing Li, Rynson W.H. Lau (eds.)
2006 | 378 Pages | ISBN: 3540490272 | PDF | 7 MB
Web-based learning has attracted ongoing attention for its rapid development in recent years. It introduces not just global and distributed, but virtual learning environments to the students. To the educators, it creates a lot of opportunities, and at the same time challenges. Special learning tools/systems, learning resource management, and personalized learning materials, etc. , are the hot research topics at present. After four successful previous annual conferences, ICWL 2002 in Hong Kong, ICWL 2003 in Australia, ICWL 2004 in China, and ICWL 2005 in Hong Kong, the Fifth International Conference on Web-Based Learning (ICWL 2006) was held in Penang, Malaysia during July 19-21, 2006. ICWL 2006 was a continued attempt to address many of the above-mentioned issues. The conference program was organized in a single-track 3-day workshop. It included a tutorial, a keynote talk, and oral/poster paper presentations in several sessions dedicated to specific topics. Session topics included "Personalization in E-Learning," "Designs, Model and Framework of E-Learning Systems," "Implementations and Evaluations of E-Learning Systems," "Tools in E-Learning," and "Learning Resource Deployment, Organization and Management. " We received a total of 99 submissions from all over the world. The Program Committee selected 34 papers as regular papers for presentation, an acceptance rate of about 34. 3%. Due to the high-quality submissions, the committee decided to further invite nine papers for poster presentations. Finally, 32 papers (including the keynote speech) were selected for this post-conference proceedings.

Free Download Simulated Evolution and Learning: 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006. Proceedings By P. A. Whigham, G. Dick (auth.), Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guo-Liang Chen, Xin Yao (eds.)
2006 | 940 Pages | ISBN: 3540473319 | PDF | 14 MB
This book constitutes the refereed proceedings of the 6th International Conference on Simulated Evolution and Learning, SEAL 2006, held in Hefei, China in October 2006.The 117 revised full papers presented were carefully reviewed and selected from 420 submissions. The papers are organized in topical sections on evolutionary learning, evolutionary optimization, hybrid learning, adaptive systems, theoretical issues in evolutionary computation, and real-world applications of evolutionary computation techniques.