Tag: Machine

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 IGI EPUB Test Book 85×11
by IGI Global
English | 2024 | ISBN: 9798369375419 | 512 pages | True PDF EPUB | 23.48 MB

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 Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines, 2nd Edition by Kirill Kolodiazhnyi
English | January 24th, 2025 | ISBN: 1805120573 | 512 pages | True PDF | 13.23 MB
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets

Free Download Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines, 2nd Edition by Kirill Kolodiazhnyi
English | January 24, 2025 | ISBN: 1805120573 | True EPUB | 512 pages | 16.8 MB
Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets

Free Download Serverless Machine Learning with Amazon Redshift: Create, train, and deploy machine learning models using familiar SQL commands by Debabrata Panda, Phil Bates, Bhanu Pittampally
English | September 11, 2023 | ISBN: 1804619280 | 384 pages | EPUB | 14 Mb
Supercharge and deploy Amazon Redshift Serverless, train and deploy Machine learning Models using Amazon Redshift ML and run inference queries at scale.

Free Download Regression and Machine Learning for Education Sciences Using R by Cody Dingsen
English | November 1, 2024 | ISBN: 1032510072 | 360 pages | MOBI | 33 Mb
This book provides a conceptual introduction to regression analysis and machine learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making.