machine learning refined

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Machine Learning Refined

Author : Jeremy Watt
ISBN : 9781108480727
Genre : Computers
File Size : 58. 87 MB
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An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.

New Top Technologies Every Librarian Needs To Know

Author : Kenneth J. Varnum
ISBN : 9780838917824
Genre : Language Arts & Disciplines
File Size : 85. 48 MB
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The time is right for this all-new survey of the library technology that’s already transitioning from trend to everyday reality. As in the previous best-selling volume, Varnum and his contributors throw the spotlight on the systems, software, and approaches most crucial to the knowledge institutions of tomorrow. Inside, readers will find concise information and analysis on topics such as mobile technologies; privacy-protection technology tools; the Internet of Things (IoT); virtual reality; bots and automation; machine learning applications for libraries; libraries as digital humanities enablers; visualizations in discovery systems; linked open data; embeddedness and Learning Tools Interoperability (LTI); special collections and digital publishing; link rot, web archiving, and the future of the Distributed Web; and digital repositories. Sure to spark discussions about library innovation, this collection is a must have for staff interested in technology or involved with strategic planning.

Refined Mechanism For Data Cleaning And Machine Learning

Author : 余艾玨
ISBN : OCLC:1109933276
Genre :
File Size : 85. 54 MB
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Machine Learning In Medical Imaging

Author : Fei Wang
ISBN : 9783642354281
Genre : Computers
File Size : 56. 86 MB
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This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012. The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

Computational Science And Its Applications Iccsa 2013

Author : Beniamino Murgante
ISBN : 9783642396434
Genre : Computers
File Size : 83. 97 MB
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The five-volume set LNCS 7971-7975 constitutes the refereed proceedings of the 13th International Conference on Computational Science and Its Applications, ICCSA 2013, held in Ho Chi Minh City, Vietnam, in June 2013. Apart from the general track, ICCSA 2013 also include 33 special sessions and workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. There are 46 papers from the general track, and 202 in special sessions and workshops.

Deterministic And Statistical Methods In Machine Learning

Author : Joab Winkler
ISBN : 9783540290735
Genre : Computers
File Size : 57. 59 MB
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This book consitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. The 19 revised full papers presented were carefully reviewed and selected for inclusion in the book. They address all current issues in the rapidly maturing field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling. The particular focus of the workshop was advanced research methods in machine learning and statistical signal processing.

Machine Learning Ecml 2001

Author : Luc de Raedt
ISBN : 9783540447955
Genre : Computers
File Size : 38. 54 MB
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This book constitutes the refereed proceedings of the 12th European Conference on Machine Learning, ECML 2001, held in Freiburg, Germany, in September 2001. The 50 revised full papers presented together with four invited contributions were carefully reviewed and selected from a total of 140 submissions. Among the topics covered are classifier systems, naive-Bayes classification, rule learning, decision tree-based classification, Web mining, equation discovery, inductive logic programming, text categorization, agent learning, backpropagation, reinforcement learning, sequence prediction, sequential decisions, classification learning, sampling, and semi-supervised learning.

Machine Learning Ewsl 91

Author : Yves Kodratoff
ISBN : 354053816X
Genre : Computers
File Size : 53. 56 MB
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In this book contemporary knowledge of superconductivity is set against its historical background. First, the highlights of superconductivity research in the twentieth century are reviewed. Further contributions then describe the basic phenomena resulting from the macroscopic quantum state of superconductivity (such as zero resistivity, the Meissner-Ochsenfeld effect, and flux quantization) and review possible mechaniscs, including the classical BCS theory and the more recent alternative theories. The main categories of superconductors - elements, intermetallic phases, chalcogenides, oxides and organic compounds - are described. Common features and differences in their structure and electronic properties are pointed out. This broad overview of superconductivity is completed by a discussion of properties related to the coherence length. Newcomers to the field who seek an overall picture of research in superconductivity, and of the cross-links between its branches, will find this volume especially useful.

Machine Learning Ecml 2005

Author : João Gama
ISBN : 9783540292432
Genre : Computers
File Size : 82. 9 MB
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This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Machine Learning And Image Interpretation

Author : Terry Caelli
ISBN : 030645761X
Genre : Computers
File Size : 89. 87 MB
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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.

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