OPEN EDUCATIONAL RESOURCES

UPA PERPUSTAKAAN UNEJ | NPP. 3509212D1000001

  • Home
  • Admin
  • Select Language :
    Arabic Bengali Brazilian Portuguese English Espanol German Indonesian Japanese Malay Persian Russian Thai Turkish Urdu

Search by :

ALL Author Subject ISBN/ISSN Advanced Search

Last search:

{{tmpObj[k].text}}

Filter by

  • Publication Year
  • Availability
  • Attachment
  • Collection Type
  • General Material Designation
    See More
  • Location
  • Language
Found 49 from your keywords: subject="Machine Learning"
1 2 3 4 5 Last Page
cover
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
Comment Share
CamposXuefeng ZhouZhihao XuShuai LiHongmin WuJuan Rojas

This open access book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term autonomy, and which can benefit from autonomous anomaly monitoring and diagnosis, as well as anomaly recovery strategies. In robotics, the ability to reason, solve their own anomalies and proactively enrich owned knowledge is a direct way to improve autonomous beha…

Edition
1
ISBN/ISSN
9789811562631
Collation
XVII, 137 hlm; ill., lamp.,
Series Title
-
Call Number
-
Availability1
Add to basket
MARC DownloadCite
cover
Machine Learning and Its Application to Reacting Flows : ML and Combustion
Comment Share
Swaminathan, NedunchezhianParente, Alessandro

These two fields, ML and turbulent combustion, have large body of work and knowledge on their own, and this book brings them together and explain the complexities and challenges involved in applying ML techniques to simulate and study reacting flows. This is important as to the world’s total primary energy supply (TPES), since more than 90% of this supply is through combustion technologies a…

Edition
-
ISBN/ISSN
978-3-031-16248-0
Collation
XI, 346
Series Title
Lecture Notes in Energy (LNEN, volume 44)
Call Number
-
Availability1
Add to basket
MARC DownloadCite
cover
Multivariate Statistical Machine Learning Methods for Genomic Prediction
Comment Share
HeinenOsval Antonio Montesinos LópezAbelardo Montesinos LópezJosé Crossa

Thanks to advances in digital technologies like electronic devices and networks, it is possible to automatize and digitalize many jobs, processes, and services, which are generating huge quantities of data. These “big data” are transmitted, collected, aggregated, and analyzed to deliver deep insights into processes and human behavior. For this reason, data are called the new oil, since …

Edition
-
ISBN/ISSN
9783030890100
Collation
XXIV, 691
Series Title
-
Call Number
-
Availability1
Add to basket
MARC DownloadCite
cover
Manifold Learning : Model Reduction in Engineering
Comment Share
Ryckelynck, DavidCasenave, FabienAkkari, Nissrine

This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by …

Edition
-
ISBN/ISSN
978-3-031-52764-7
Collation
X, 107
Series Title
Manifold Learning : Model Reduction in Engineering
Call Number
001 RYC m
Availability1
Add to basket
MARC DownloadCite
cover
Multiple-Aspect Analysis of Semantic Trajectories: First International Worksh…
Comment Share
MATWIN, StanTSERPES, KonstantinosRENSO, Chiara

This open access book constitutes the refereed post-conference proceedings of the First International Workshop on Multiple-Aspect Analysis of Semantic Trajectories, MASTER 2019, held in conjunction with the 19th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, in Würzburg, Germany, in September 2019. The 8 full papers presented were carefully rev…

Edition
1
ISBN/ISSN
9783030380816
Collation
IX, 133
Series Title
-
Call Number
-
Availability0
Add to basket
MARC DownloadCite
cover
Foundation Models for Natural Language Processing
Comment Share
Gerhard Paaß, Sven Giesselbach

This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm has been developed for training models for NLP. These models are first pre-trained on large collections of text documen…

Edition
1
ISBN/ISSN
978-3-031-23190-2
Collation
-
Series Title
Artificial Intelligence: Foundations, Theory, and Algorithms
Call Number
XVIII, 436
Availability0
Add to basket
MARC DownloadCite
cover
Integrating Data Science and Earth Science
Comment Share
Bouwer,Laurens M.Dransch,DorisRuhnke,RolandRechid,DianaFrickenhaus,StephanGreinert,Jens

This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.

Edition
-
ISBN/ISSN
978-3-030-99546-1
Collation
-
Series Title
-
Call Number
-
Availability0
Add to basket
MARC DownloadCite
cover
xxAI - Beyond Explainable AI
Comment Share
Andreas Holzinger

Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the goal of creating tools and …

Edition
1
ISBN/ISSN
-
Collation
-
Series Title
Lecture Notes in Computer Science
Call Number
X, 397
Availability0
Add to basket
MARC DownloadCite
cover
Machine learners :archaeology of a data practice
Comment Share
Mackenzie, Adrian,

Machine learning - programming computers to learn from data - has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as oper…

Edition
-
ISBN/ISSN
9780262342551
Collation
1 online resource (xvi, 252 pages) :illustrations
Series Title
-
Call Number
-
Availability0
Add to basket
MARC DownloadCite
cover
Boosting: Foundations and Algorithms
Comment Share
Schapire, Robert E.Freund, Yoav

A remarkably rich theory has evolved around boosting, with connections to a range of topics including statistics, game theory, convex optimization, and information geometry. Boosting algorithms have also enjoyed practical success in such fields as biology, vision, and speech processing. At various times in its history, boosting has been perceived as mysterious, controversial, even paradoxical. …

Edition
-
ISBN/ISSN
9780262301183
Collation
1 online resource (xv, 526 pages) :illustrations
Series Title
-
Call Number
-
Availability0
Add to basket
MARC DownloadCite
1 2 3 4 5 Last Page
OPEN EDUCATIONAL RESOURCES

Search

start it by typing one or more keywords for title, author or subject


Select the topic you are interested in
  • Computer Science, Information & General Works
  • Philosophy & Psychology
  • Religion
  • Social Sciences
  • Language
  • Pure Science
  • Applied Sciences
  • Art & Recreation
  • Literature
  • History & Geography
Icons made by Freepik from www.flaticon.com
Advanced Search
Where do you want to share?