Conformal Prediction for Reliable Machine Learning

Written By Vineeth Balasubramanian
Conformal Prediction for Reliable Machine Learning
  • Publsiher : Morgan Kaufmann
  • Release : 06 August 2021
  • ISBN : 9780123985378
  • Pages : 298 pages
  • Rating : /5 from reviews
GET THIS BOOKConformal Prediction for Reliable Machine Learning


Download or read book entitled Conformal Prediction for Reliable Machine Learning by author: Vineeth Balasubramanian which was release on 06 August 2021 and published by Morgan Kaufmann with total page 298 pages . This book available in PDF, EPUB and Kindle Format. "Traditional, low-dimensional, small scale data have been successfully dealt with using conventional software engineering and classical statistical methods, such as discriminant analysis, neural networks, genetic algorithms and others. But the change of scale in data collection and the dimensionality of modern data sets has profound implications on the type of analysis that can be done. Recently several kernel-based machine learning algorithms have been developed for dealing with high-dimensional problems, where a large number of features could cause a combinatorial explosion. These methods are quickly gaining popularity, and it is widely believed that they will help to meet the challenge of analysing very large data sets. Learning machines often perform well in a wide range of applications and have nice theoretical properties without requiring any parametric statistical assumption about the source of data (unlike traditional statistical techniques). However, a typical drawback of many machine learning algorithms is that they usually do not provide any useful measure of con dence in the predicted labels of new, unclassi ed examples. Con dence estimation is a well-studied area of both parametric and non-parametric statistics; however, usually only low-dimensional problems are considered"--

Conformal Prediction for Reliable Machine Learning

Conformal Prediction for Reliable Machine Learning
  • Author : Vineeth Balasubramanian,Shen-Shyang Ho,Vladimir Vovk
  • Publisher : Morgan Kaufmann
  • Release Date : 2014
  • Total pages : 298
  • ISBN : 9780123985378
GET BOOK

Summary : "Traditional, low-dimensional, small scale data have been successfully dealt with using conventional software engineering and classical statistical methods, such as discriminant analysis, neural networks, genetic algorithms and others. But the change of scale in data collection and the dimensionality of modern data sets has profound implications on the type of ...

Conformal Prediction for Reliable Machine Learning

Conformal Prediction for Reliable Machine Learning
  • Author : Vineeth Balasubramanian,Shen-Shyang Ho,Vladimir Vovk
  • Publisher : Newnes
  • Release Date : 2014-04-23
  • Total pages : 334
  • ISBN : 9780123985378
GET BOOK

Summary : The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and ...

Algorithmic Learning in a Random World

Algorithmic Learning in a Random World
  • Author : Vladimir Vovk,Alexander Gammerman,Glenn Shafer
  • Publisher : Springer Science & Business Media
  • Release Date : 2005-03-22
  • Total pages : 324
  • ISBN : 9780123985378
GET BOOK

Summary : Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility ...

Statistical Learning and Data Sciences

Statistical Learning and Data Sciences
  • Author : Alexander Gammerman,Vladimir Vovk,Harris Papadopoulos
  • Publisher : Springer
  • Release Date : 2015-04-02
  • Total pages : 444
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of the Third International Symposium on Statistical Learning and Data Sciences, SLDS 2015, held in Egham, Surrey, UK, April 2015. The 36 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on statistical learning ...

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
  • Author : Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopoulos,Spyros Sioutas,Christos Makris
  • Publisher : Springer
  • Release Date : 2014-09-15
  • Total pages : 352
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of four AIAI 2014 workshops, co-located with the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014: the Third Workshop on Intelligent Innovative Ways for Video-to-Video Communications in Modern Smart Cities, IIVC 2014; the Third Workshop on ...

Conformal and Probabilistic Prediction with Applications

Conformal and Probabilistic Prediction with Applications
  • Author : Alexander Gammerman,Zhiyuan Luo,Jesús Vega,Vladimir Vovk
  • Publisher : Springer
  • Release Date : 2016-04-16
  • Total pages : 229
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of the 5th International Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2016, held in Madrid, Spain, in April 2016. The 14 revised full papers presented together with 1 invited paper were carefully reviewed and selected from 23 submissions and cover topics on theory of conformal prediction; applications ...

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
  • Author : Rani, Geeta,Tiwari, Pradeep Kumar
  • Publisher : IGI Global
  • Release Date : 2020-10-16
  • Total pages : 586
  • ISBN : 9780123985378
GET BOOK

Summary : By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build ...

Advances and Trends in Artificial Intelligence From Theory to Practice

Advances and Trends in Artificial Intelligence  From Theory to Practice
  • Author : Franz Wotawa,Gerhard Friedrich,Ingo Pill,Roxane Koitz-Hristov,Moonis Ali
  • Publisher : Springer
  • Release Date : 2019-06-28
  • Total pages : 865
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019. The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue ...

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
  • Author : Harris Papadopoulos,Andreas S. Andreou,Lazaros S. Iliadis,Ilias Maglogiannis
  • Publisher : Springer
  • Release Date : 2013-09-03
  • Total pages : 709
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of the 9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2013, held in Paphos, Cyprus, in September/October 2013. The 26 revised full papers presented together with a keynote speech at the main event and 44 papers of 8 collocated workshops were carefully reviewed and ...

Runtime Verification

Runtime Verification
  • Author : Bernd Finkbeiner,Leonardo Mariani
  • Publisher : Springer Nature
  • Release Date : 2019-10-03
  • Total pages : 413
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of the 19th International Conference on Runtime Verification, RV 2019, held in Porto, Portugal, in October 2019. The 25 regular papers presented in this book were carefully reviewed and selected from 38 submissions. The RV conference is concerned with all aspects of monitoring and analysis of hardware, software ...

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
  • Author : Toon Calders,Floriana Esposito,Eyke Hüllermeier,Rosa Meo
  • Publisher : Springer
  • Release Date : 2014-09-01
  • Total pages : 715
  • ISBN : 9780123985378
GET BOOK

Summary : This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully ...

Dynamic Data Driven Applications Systems

Dynamic Data Driven Applications Systems
  • Author : Frederica Darema,Erik Blasch,Sai Ravela,Alex Aved
  • Publisher : Springer Nature
  • Release Date : 2020-11-02
  • Total pages : 360
  • ISBN : 9780123985378
GET BOOK

Summary : This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment ...

Information Processing and Management of Uncertainty in Knowledge Based Systems

Information Processing and Management of Uncertainty in Knowledge Based Systems
  • Author : Marie-Jeanne Lesot,Susana Vieira,Marek Z. Reformat,João Paulo Carvalho,Anna Wilbik,Bernadette Bouchon-Meunier,Ronald R. Yager
  • Publisher : Springer Nature
  • Release Date : 2020-06-05
  • Total pages : 753
  • ISBN : 9780123985378
GET BOOK

Summary : This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. ...

Statistical Learning from a Regression Perspective

Statistical Learning from a Regression Perspective
  • Author : Richard A. Berk
  • Publisher : Springer Nature
  • Release Date : 2020-06-29
  • Total pages : 433
  • ISBN : 9780123985378
GET BOOK

Summary : This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical ...

Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases
  • Author : Frank Hutter
  • Publisher : Springer Nature
  • Release Date : 2021-08-06
  • Total pages : 212
  • ISBN : 9780123985378
GET BOOK

Summary : Read online Machine Learning and Knowledge Discovery in Databases written by Frank Hutter, published by Springer Nature which was released on . Download full Machine Learning and Knowledge Discovery in Databases Books now! Available in PDF, ePub and Kindle....