Domain Generalization With Machine Learning In The Nova Experiment

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Domain Generalization with Machine Learning in the NOvA Experiment

Author : Andrew T.C. Sutton
Publisher : Springer Nature
ISBN 13 : 3031435834
Total Pages : 174 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Domain Generalization with Machine Learning in the NOvA Experiment by : Andrew T.C. Sutton

Download or read book Domain Generalization with Machine Learning in the NOvA Experiment written by Andrew T.C. Sutton and published by Springer Nature. This book was released on 2023-12-10 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis presents significant advances in the use of neural networks to study the properties of neutrinos. Machine learning tools like neural networks (NN) can be used to identify the particle types or determine their energies in detectors such as those used in the NOvA neutrino experiment, which studies changes in a beam of neutrinos as it propagates approximately 800 km through the earth. NOvA relies heavily on simulations of the physics processes and the detector response; these simulations work well, but do not match the real experiment perfectly. Thus, neural networks trained on simulated datasets must include systematic uncertainties that account for possible imperfections in the simulation. This thesis presents the first application in HEP of adversarial domain generalization to a regression neural network. Applying domain generalization to problems with large systematic variations will reduce the impact of uncertainties while avoiding the risk of falsely constraining the phase space. Reducing the impact of systematic uncertainties makes NOvA analysis more robust, and improves the significance of experimental results.

Human and Machine Vision

Author : Virginio Cantoni
Publisher : Springer Science & Business Media
ISBN 13 : 1489910042
Total Pages : 399 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Human and Machine Vision by : Virginio Cantoni

Download or read book Human and Machine Vision written by Virginio Cantoni and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: The following are the proceedings of the Third International Workshop on Perception held in Pavia, Italy, on September 27-30, 1993, under the auspices of four institutions: the Group of Cybernetic and Biophysics (GNCB)s of the National Research Council (CNR), the Italian Association for Artificial Intelligence (AI * IA), the Italian Association of Psychology (AlP), and the Italian Chapter of the International Association for Pattern Recognition (IAPR). The theme of this third workshop was: "Human and Machine Vision: Analogies and Divergencies." A wide spectrum of topics was covered, ranging from neurophysiology, to computer architecture, to psychology, to image understanding, etc. For this reason the structure of this workshop was quite different from those of the first two held in Parma (1991), and Trieste (1992). This time the workshop was composed of just eight modules, each one consisting of two invited lectures (dealing with vision in nature and machines, respectively) and a common panel discussion (including the two lecturers and three invited panellists).

Symbolic-numeric Data Analysis and Learning

Author : E. Diday
Publisher :
ISBN 13 :
Total Pages : 624 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Symbolic-numeric Data Analysis and Learning by : E. Diday

Download or read book Symbolic-numeric Data Analysis and Learning written by E. Diday and published by . This book was released on 1991 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of an international conference held in Paris, France, September 1991, present the latest achievements in theory, methodology, and software tools which should allow a better understanding of the data which have been collected. Sessions are devoted to metrics, robust methods, applicati

Machines that Learn to Play Games

Author : Johannes Fürnkranz
Publisher : Nova Publishers
ISBN 13 : 9781590330210
Total Pages : 318 pages
Book Rating : 4.3/5 (32 download)

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Book Synopsis Machines that Learn to Play Games by : Johannes Fürnkranz

Download or read book Machines that Learn to Play Games written by Johannes Fürnkranz and published by Nova Publishers. This book was released on 2001 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mind-set that has dominated the history of computer game playing relies on straightforward exploitation of the available computing power. The fact that a machine can explore millions of variations sooner than the sluggish human can wink an eye has inspired hopes that the mystery of intelligence can be cracked, or at least side-stepped, by sheer force. Decades of the steadily growing strength of computer programs have attested to the soundness of this approach. It is clear that deeper understanding can cut the amount of necessary calculations by orders of magnitude. The papers collected in this volume describe how to instill learning skills in game playing machines. The reader is asked to keep in mind that this is not just about games -- the possibility that the discussed techniques will be used in control systems and in decision support always looms in the background.

Explainable and Interpretable Models in Computer Vision and Machine Learning

Author : Hugo Jair Escalante
Publisher : Springer
ISBN 13 : 3319981315
Total Pages : 305 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Explainable and Interpretable Models in Computer Vision and Machine Learning by : Hugo Jair Escalante

Download or read book Explainable and Interpretable Models in Computer Vision and Machine Learning written by Hugo Jair Escalante and published by Springer. This book was released on 2018-11-29 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like performance. Although these models have obtained astounding results, they are limited in their explainability and interpretability: what is the rationale behind the decision made? what in the model structure explains its functioning? Hence, while good performance is a critical required characteristic for learning machines, explainability and interpretability capabilities are needed to take learning machines to the next step to include them in decision support systems involving human supervision. This book, written by leading international researchers, addresses key topics of explainability and interpretability, including the following: · Evaluation and Generalization in Interpretable Machine Learning · Explanation Methods in Deep Learning · Learning Functional Causal Models with Generative Neural Networks · Learning Interpreatable Rules for Multi-Label Classification · Structuring Neural Networks for More Explainable Predictions · Generating Post Hoc Rationales of Deep Visual Classification Decisions · Ensembling Visual Explanations · Explainable Deep Driving by Visualizing Causal Attention · Interdisciplinary Perspective on Algorithmic Job Candidate Search · Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions · Inherent Explainability Pattern Theory-based Video Event Interpretations

Deep Learning with Python

Author : Francois Chollet
Publisher : Simon and Schuster
ISBN 13 : 1638352046
Total Pages : 597 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Deep Learning with Python by : Francois Chollet

Download or read book Deep Learning with Python written by Francois Chollet and published by Simon and Schuster. This book was released on 2017-11-30 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. We went from near-unusable speech and image recognition, to near-human accuracy. We went from machines that couldn't beat a serious Go player, to defeating a world champion. Behind this progress is deep learning—a combination of engineering advances, best practices, and theory that enables a wealth of previously impossible smart applications. About the Book Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image-classification models Deep learning for text and sequences Neural style transfer, text generation, and image generation About the Reader Readers need intermediate Python skills. No previous experience with Keras, TensorFlow, or machine learning is required. About the Author François Chollet works on deep learning at Google in Mountain View, CA. He is the creator of the Keras deep-learning library, as well as a contributor to the TensorFlow machine-learning framework. He also does deep-learning research, with a focus on computer vision and the application of machine learning to formal reasoning. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference and Workshop on Neural Information Processing Systems (NIPS), the International Conference on Learning Representations (ICLR), and others. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions appendix A - Installing Keras and its dependencies on Ubuntu appendix B - Running Jupyter notebooks on an EC2 GPU instance

Machine Learning

Author : Jaime Guillermo Carbonell
Publisher :
ISBN 13 :
Total Pages : 395 pages
Book Rating : 4.:/5 (25 download)

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Book Synopsis Machine Learning by : Jaime Guillermo Carbonell

Download or read book Machine Learning written by Jaime Guillermo Carbonell and published by . This book was released on 1989 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt:

LHC Physics

Author : T. Binoth
Publisher : CRC Press
ISBN 13 : 1439837708
Total Pages : 415 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis LHC Physics by : T. Binoth

Download or read book LHC Physics written by T. Binoth and published by CRC Press. This book was released on 2012-04-25 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring the phenomenology of the Large Hadron Collider (LHC) at CERN, LHC Physics focuses on the first years of data collected at the LHC as well as the experimental and theoretical tools involved. It discusses a broad spectrum of experimental and theoretical activity in particle physics, from the searches for the Higgs boson and physics beyond the Standard Model to studies of quantum chromodynamics, the B-physics sector, and the properties of dense hadronic matter in heavy-ion collisions. Covering the topics in a pedagogical manner, the book introduces the theoretical and phenomenological framework of hadron collisions and presents the current theoretical models of frontier physics. It offers overviews of the main detector components, the initial calibration procedures, and search strategies. The authors also provide explicit examples of physics analyses drawn from the recently shut down Tevatron. In the coming years, or perhaps even sooner, the LHC experiments may reveal the Higgs boson and offer insight beyond the Standard Model. Written by some of the most prominent and active researchers in particle physics, this volume equips new physicists with the theory and tools needed to understand the various LHC experiments and prepares them to make future contributions to the field.

Scientific and Technical Aerospace Reports

Author :
Publisher :
ISBN 13 :
Total Pages : 336 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1970 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Active Learning

Author : Burr Chen
Publisher : Springer Nature
ISBN 13 : 3031015606
Total Pages : 100 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Active Learning by : Burr Chen

Download or read book Active Learning written by Burr Chen and published by Springer Nature. This book was released on 2022-05-31 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations

What Video Games Have to Teach Us About Learning and Literacy. Second Edition

Author : James Paul Gee
Publisher : Macmillan
ISBN 13 : 1466886420
Total Pages : 233 pages
Book Rating : 4.4/5 (668 download)

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Book Synopsis What Video Games Have to Teach Us About Learning and Literacy. Second Edition by : James Paul Gee

Download or read book What Video Games Have to Teach Us About Learning and Literacy. Second Edition written by James Paul Gee and published by Macmillan. This book was released on 2014-12-02 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Development in a Digital Age James Paul Gee begins his classic book with "I want to talk about video games–yes, even violent video games–and say some positive things about them." With this simple but explosive statement, one of America's most well-respected educators looks seriously at the good that can come from playing video games. This revised edition expands beyond mere gaming, introducing readers to fresh perspectives based on games like World of Warcraft and Half-Life 2. It delves deeper into cognitive development, discussing how video games can shape our understanding of the world. An undisputed must-read for those interested in the intersection of education, technology, and pop culture, What Video Games Have to Teach Us About Learning and Literacy challenges traditional norms, examines the educational potential of video games, and opens up a discussion on the far-reaching impacts of this ubiquitous aspect of modern life.

Experimental and Quasi-experimental Designs for Generalized Causal Inference

Author : William R. Shadish
Publisher : Cengage Learning
ISBN 13 :
Total Pages : 664 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Experimental and Quasi-experimental Designs for Generalized Causal Inference by : William R. Shadish

Download or read book Experimental and Quasi-experimental Designs for Generalized Causal Inference written by William R. Shadish and published by Cengage Learning. This book was released on 2002 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Deep Learning Techniques for Music Generation

Author : Jean-Pierre Briot
Publisher : Springer
ISBN 13 : 3319701630
Total Pages : 303 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Deep Learning Techniques for Music Generation by : Jean-Pierre Briot

Download or read book Deep Learning Techniques for Music Generation written by Jean-Pierre Briot and published by Springer. This book was released on 2019-11-08 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.

The 1994 IEEE International Conference on Neural Networks

Author :
Publisher :
ISBN 13 :
Total Pages : 790 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis The 1994 IEEE International Conference on Neural Networks by :

Download or read book The 1994 IEEE International Conference on Neural Networks written by and published by . This book was released on 1994 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning, Optimization, and Data Science

Author : Giuseppe Nicosia
Publisher : Springer Nature
ISBN 13 : 3030375994
Total Pages : 798 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Machine Learning, Optimization, and Data Science by : Giuseppe Nicosia

Download or read book Machine Learning, Optimization, and Data Science written by Giuseppe Nicosia and published by Springer Nature. This book was released on 2020-01-03 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the post-conference proceedings of the 5th International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, held in Siena, Italy, in September 2019. The 54 full papers presented were carefully reviewed and selected from 158 submissions. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data science presenting a substantial array of ideas, technologies, algorithms, methods and applications.

The Cambridge Handbook of Sociolinguistics

Author : Rajend Mesthrie
Publisher : Cambridge University Press
ISBN 13 : 1139500937
Total Pages : 598 pages
Book Rating : 4.1/5 (395 download)

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Book Synopsis The Cambridge Handbook of Sociolinguistics by : Rajend Mesthrie

Download or read book The Cambridge Handbook of Sociolinguistics written by Rajend Mesthrie and published by Cambridge University Press. This book was released on 2011-10-06 with total page 598 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most comprehensive overview available, this Handbook is an essential guide to sociolinguistics today. Reflecting the breadth of research in the field, it surveys a range of topics and approaches in the study of language variation and use in society. As well as linguistic perspectives, the handbook includes insights from anthropology, social psychology, the study of discourse and power, conversation analysis, theories of style and styling, language contact and applied sociolinguistics. Language practices seem to have reached new levels since the communications revolution of the late twentieth century. At the same time face-to-face communication is still the main force of language identity, even if social and peer networks of the traditional face-to-face nature are facing stiff competition of the Facebook-to-Facebook sort. The most authoritative guide to the state of the field, this handbook shows that sociolinguistics provides us with the best tools for understanding our unfolding evolution as social beings.

Program Synthesis

Author : Sumit Gulwani
Publisher :
ISBN 13 : 9781680832921
Total Pages : 138 pages
Book Rating : 4.8/5 (329 download)

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Book Synopsis Program Synthesis by : Sumit Gulwani

Download or read book Program Synthesis written by Sumit Gulwani and published by . This book was released on 2017-07-11 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programming, and data cleaning. In the last decade, several applications of synthesis in the field of programming by examples have been deployed in mass-market industrial products. This monograph is a general overview of the state-of-the-art approaches to program synthesis, its applications, and subfields. It discusses the general principles common to all modern synthesis approaches such as syntactic bias, oracle-guided inductive search, and optimization techniques. We then present a literature review covering the four most common state-of-the-art techniques in program synthesis: enumerative search, constraint solving, stochastic search, and deduction-based programming by examples. It concludes with a brief list of future horizons for the field.