Log in

Relevant bibliographies by topics / Machine learning-based approach / Books

To see the other types of publications on this topic, follow the link: Machine learning-based approach.

Books on the topic 'Machine learning-based approach'

Author: Grafiati

Published: 11 December 2022

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 42 books for your research on the topic 'Machine learning-based approach.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse books on a wide variety of disciplines and organise your bibliography correctly.

1

Purswani, Krish. A probabilistic reasoning-based approach to machine learning. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

2

Thrun, Sebastian. Explanation-Based Neural Network Learning: A Lifelong Learning Approach. Springer US, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

3

Thrun, Sebastian. Explanation-based neural network learning: A lifelong learning approach. Kluwer Academic Publishers, 1996.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

4

Shaw, Michael. Incorporating machine learning in knowledge-based process planning systems: An explanation-based approach. College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1990.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

5

Collins, Gregg. Learning strategic concepts in competitive planning: An explanation-based approach to the transfer of knowledge across domains. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1988.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

6

United States. National Aeronautics and Space Administration., ed. Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations: Special approach/docking testcase results. Research Institute for Computing and Information Systems, University of Houston-Clear Lake, 1993.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

7

Vishnevskiy, V. M., and D. V. Efrosinin. Queue theory and machine learning. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2184048.

Full text

Abstract:

The monograph is devoted to a systematic presentation of a new approach to the study of complex problems of queue theory using machine learning methods and its application in the design of telecommunication networks of a new generation. It is based on the authors' original results published in leading Russian journals and in highly rated foreign publications, as well as lectures delivered at the Moscow Institute of Physics and Technology and the Johannes Kepler University of Linz (Austria). It is intended for a wide range of specialists in the field of stochastic systems and the design of comp

APA, Harvard, Vancouver, ISO, and other styles

8

Gori, Marco. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology Books, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

9

Gori, Marco, Alessandro Betti, and Stefano Melacci. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology Books, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

10

D, Marco Gori Ph. Machine Learning: A Constraint-Based Approach. Morgan Kaufmann, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

11

Gori, Marco, Alessandro Betti, and Stefano Melacci. Machine Learning: A Constraint-Based Approach. Elsevier Science & Technology, 2022.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

12

Golden, Richard. Statistical Machine Learning: A Model-Based Approach. Taylor & Francis Group, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

13

Golden, Richard. Statistical Machine Learning: A Model-Based Approach. Taylor & Francis Group, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

14

Golden, Richard. Statistical Machine Learning: A Model-Based Approach. Taylor & Francis Group, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

15

Golden, Richard. Statistical Machine Learning: A Model-Based Approach. Taylor & Francis Group, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

16

Golden, Richard. Statistical Machine Learning: A Model-Based Approach. Taylor & Francis Group, 2020.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Han, Alexander Gegov, and Mihaela Cocea. Rule Based Systems for Big Data: A Machine Learning Approach. Springer International Publishing AG, 2016.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

18

Liu, Han, and Mihaela Cocea. Granular Computing Based Machine Learning: A Big Data Processing Approach. Springer, 2017.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

19

Liu, Han, Alexander Gegov, and Mihaela Cocea. Rule Based Systems for Big Data: A Machine Learning Approach. Springer, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

20

Liu, Han, and Mihaela Cocea. Granular Computing Based Machine Learning: A Big Data Processing Approach. Springer, 2018.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Rule Based Systems for Big Data: A Machine Learning Approach. Springer, 2015.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

22

Butz, Martin V. V. Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design. Springer, 2010.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

23

Reddy, Chandrasekhara K. Learning hierarchical decomposition rules for planning: An inductive logic programming approach. 1998.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

24

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach. Elsevier Science & Technology, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

25

Subasi, Abdulhamit. Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach. Elsevier Science & Technology Books, 2019.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

26

Butz, Martin V. Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design. Springer London, Limited, 2006.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

27

Butz, Martin V. Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design (Studies in Fuzziness and Soft Computing). Springer, 2005.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

28

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Limited, John, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

29

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Incorporated, John, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

30

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Incorporated, John, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

31

Pattnaik, Prasant Kumar, Muthukumaran Malarvel, Soumya Ranjan Nayak, and Surya Narayan Panda. Machine Vision Inspection Systems, Machine Learning-Based Approaches. Wiley & Sons, Limited, John, 2021.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

32

(Editor), Gheorghe Tecuci, and Yves Kodratoff (Editor), eds. Machine Learning and Knowledge Acquisition: Integrated Approaches (Knowledge-Based Systems Series). Academic Pr, 1995.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

33

LAND.TECHNIK 2022. VDI Verlag, 2022. http://dx.doi.org/10.51202/9783181023952.

Full text

Abstract:

INHALT Electrical Agricultural Machines Structuring of electrified agricultural machine systems – Diversity of solutions and analysis methods .....1 GridCON2 – Development of a Cable Drum Vehicle Concept to Power 1MW Fully Electric Agricultural Swarms ..... 11 GridCON Swarm – Development of a Grid Connected Fully Autonomous Agricultural Production System ..... 17 Fully electric Tractor with 1000 kWh battery capacity ..... 23 Soil and Modelling The Integration of a Scientific Soil Compaction Risk Indicator (TERRANIMO) into a Holistic Tractor and Implement Optimization System (CEMOS) .....29 Ide

APA, Harvard, Vancouver, ISO, and other styles

34

Mooney, Raymond J. Machine Learning. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0020.

Full text

Abstract:

This article introduces the type of symbolic machine learning in which decision trees, rules, or case-based classifiers are induced from supervised training examples. It describes the representation of knowledge assumed by each of these approaches and reviews basic algorithms for inducing such representations from annotated training examples and using the acquired knowledge to classify future instances. Machine learning is the study of computational systems that improve performance on some task with experience. Most machine learning methods concern the task of categorizing examples described b

APA, Harvard, Vancouver, ISO, and other styles

35

Geraci, Robert M. Futures of Artificial Intelligence. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9788194831679.001.0001.

Full text

Abstract:

Twenty-first-century life is increasingly governed by artificial intelligence (AI) technologies such as machine learning, big data analysis, facial recognition, and robotics. For decades, an ideology of apocalyptic progress and cosmic transformation has accompanied the advancement of AI in the U.S.; that vision is intimately connected to transhumanism—the idea that humanity can transcend its limits, even mortality, using technology. Based on contributions from science and science fiction, advocates of such Apocalyptic AI suggest that the world will soon see godlike machine intelligence and tha

APA, Harvard, Vancouver, ISO, and other styles

36

Muggleton, Stephen, and Nicholas Chater, eds. Human-Like Machine Intelligence. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862536.001.0001.

Full text

Abstract:

In recent years there has been increasing excitement concerning the potential of Artificial Intelligence to transform human society. This book addresses the leading edge of research in this area. The research described aims to address present incompatibilities of Human and Machine reasoning and learning approaches. According to the influential US funding agency DARPA (originator of the Internet and Self-Driving Cars) this new area represents the Third Wave of Artificial Intelligence (3AI, 2020s–2030s), and is being actively investigated in the US, Europe and China. The EPSRC’s UK network on Hu

APA, Harvard, Vancouver, ISO, and other styles

37

Cangelosi, Angelo, and Minoru Asada, eds. Cognitive Robotics. The MIT Press, 2022. http://dx.doi.org/10.7551/mitpress/13780.001.0001.

Full text

Abstract:

The current state of the art in cognitive robotics, covering the challenges of building AI-powered intelligent robots inspired by natural cognitive systems. A novel approach to building AI-powered intelligent robots takes inspiration from the way natural cognitive systems—in humans, animals, and biological systems—develop intelligence by exploiting the full power of interactions between body and brain, the physical and social environment in which they live, and phylogenetic, developmental, and learning dynamics. This volume reports on the current state of the art in cognitive robotics, offerin

APA, Harvard, Vancouver, ISO, and other styles

38

Coveney, Peter V., and Shunzhou Wan. Molecular Dynamics: Probability and Uncertainty. Oxford University PressOxford, 2025. https://doi.org/10.1093/9780198893479.001.0001.

Full text

Abstract:

Abstract This book explores the intersection of molecular dynamics (MD) simulation with advanced probabilistic methodologies to address the inherent uncertainties in the approach. Beginning with a clear and comprehensible introduction to classical mechanics, the book transitions into the probabilistic formulation of MD, highlighting the importance of ergodic theory, kinetic theory, and unstable periodic orbits, concepts which are largely unknown to current practitioners within the domain. It discussed ensemble-based simulations, free energy calculations and the study of polymer nanocomposites

APA, Harvard, Vancouver, ISO, and other styles

39

Bouquet, Mary. Museums. Bloomsbury Publishing Plc., 2012. https://doi.org/10.5040/9781350532816.

Full text

Abstract:

Museums: A Visual Anthropology provides a clear and concise summary of the key ideas, debates and texts of the most important approaches to the study of museums from around the world. The book examines ways to address the social relations of museums, embedded in their sites, collections, and exhibitions, as an integral part of the visual and material culture they comprise. Cross-disciplinary in scope, Museums uses ideas and approaches both from within and outside of anthropology to further students’ knowledge of and interest in museums. Including selected, globally based case studies to highli

APA, Harvard, Vancouver, ISO, and other styles

40

Zhai, Xiaoming, and Joseph Krajcik, eds. Uses of Artificial Intelligence in STEM Education. Oxford University PressOxford, 2024. http://dx.doi.org/10.1093/oso/9780198882077.001.0001.

Full text

Abstract:

Abstract In the age of rapid technological advancements, the integration of artificial intelligence (AI), machine learning (ML), and large language models (LLMs) in science, technology, engineering, and mathematics (STEM) education has emerged as a transformative force, reshaping pedagogical approaches and assessment methodologies. This book, comprising twenty-six chapters, delves deep into the multifaceted realm of AI-driven STEM education. It begins by exploring the challenges and opportunities of AI-based STEM education, emphasizing the intricate balance between human tasks and technologica

APA, Harvard, Vancouver, ISO, and other styles

41

Wikle, Christopher K. Spatial Statistics. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.710.

Full text

Abstract:

The climate system consists of interactions between physical, biological, chemical, and human processes across a wide range of spatial and temporal scales. Characterizing the behavior of components of this system is crucial for scientists and decision makers. There is substantial uncertainty associated with observations of this system as well as our understanding of various system components and their interaction. Thus, inference and prediction in climate science should accommodate uncertainty in order to facilitate the decision-making process. Statistical science is designed to provide the to

APA, Harvard, Vancouver, ISO, and other styles

42

Dobson, James E. Critical Digital Humanities. University of Illinois Press, 2019. http://dx.doi.org/10.5622/illinois/9780252042270.001.0001.

Full text

Abstract:

This book seeks to develop an answer to the major question arising from the adoption of sophisticated data-science approaches within humanities research: are existing humanities methods compatible with computational thinking? Data-based and algorithmically powered methods present both new opportunities and new complications for humanists. This book takes as its founding assumption that the exploration and investigation of texts and data with sophisticated computational tools can serve the interpretative goals of humanists. At the same time, it assumes that these approaches cannot and will not

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!