Bayesian Moments

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

"Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications" ed. by Isabelle Bloch, Roberto M. Cesar Jr.
15th Iberoamerican Congress on Pattern Recognition, CIARP 2010, São Paulo, Brazil, November 8-11, 2010, Proceedings. Lecture Notes in Computer Science, volume 6419
Springer | 2010 | ISBN: 3642166860 | 599 pages | PDF/djvu | 14/8 MB

The 70 revised full papers presented were carefully reviewed and selected from 145 submissions. The papers feature current research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, industry, health, entertainment, space exploration, telecommunications, data mining, document analysis, and natural language processing and recognition to name only few of them.
Probability Step-by-Step: A Practical Approach to Chance, Risk, Uncertainty & Probability Theory Concepts

Probability Step-by-Step: A Practical Approach to Chance, Risk, Uncertainty & Probability Theory Concepts (Step By Step Subject Guides) by Robert Gibson
English | May 22, 2024 | ISBN: N/A | ASIN: B0D51JH5HY | PDF | 3.59 Mb

Statistical Inference: An Integrated Approach, Second Edition  eBooks & eLearning

Posted by interes at May 1, 2015
Statistical Inference: An Integrated Approach, Second Edition

Statistical Inference: An Integrated Approach, Second Edition by Helio S. Migon and Dani Gamerman
English | 2014 | ISBN: 1439878803 | 385 pages | PDF | 3 MB

Statistical Inference: An Integrated Approach, Second Edition (repost)  eBooks & eLearning

Posted by interes at June 30, 2015
Statistical Inference: An Integrated Approach, Second Edition (repost)

Statistical Inference: An Integrated Approach, Second Edition by Helio S. Migon and Dani Gamerman
English | 2014 | ISBN: 1439878803 | 385 pages | PDF | 3 MB

Statistical Inference: An Integrated Approach, Second Edition (repost)  eBooks & eLearning

Posted by libr at Jan. 28, 2016
Statistical Inference: An Integrated Approach, Second Edition (repost)

Statistical Inference: An Integrated Approach, Second Edition by Helio S. Migon and Dani Gamerman
English | 2014 | ISBN: 1439878803 | 385 pages | PDF | 3 MB

Statistical Inference: An Integrated Approach, Second Edition (repost)  eBooks & eLearning

Posted by libr at Nov. 12, 2018
Statistical Inference: An Integrated Approach, Second Edition (repost)

Statistical Inference: An Integrated Approach, Second Edition by Helio S. Migon and Dani Gamerman
English | 2014 | ISBN: 1439878803 | 385 pages | PDF | 3 MB

Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)  eBooks & eLearning

Posted by ELK1nG at March 13, 2023
Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)

Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)
Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 18.84 GB | Duration: 13h 46m

By MJ the Fellow Actuary

Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)  eBooks & eLearning

Posted by ELK1nG at Aug. 4, 2022
Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)

Mathematical (Actuarial) Statistics:(Exam P/Ct3/Cs1)
Last updated 8/2020
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 12.41 GB | Duration: 13h 46m

By MJ the Fellow Actuary
Probability Step-by-Step: A Practical Approach to Chance, Risk, Uncertainty & Probability Theory Concepts

Probability Step-by-Step: A Practical Approach to Chance, Risk, Uncertainty & Probability Theory Concepts (Step By Step Subject Guides) by Robert Gibson
English | May 22, 2024 | ISBN: N/A | ASIN: B0D51JH5HY | PDF | 3.59 Mb

Learning and Decision-Making from Rank Data  eBooks & eLearning

Posted by Underaglassmoon at Feb. 17, 2019
Learning and Decision-Making from Rank Data

Learning and Decision-Making from Rank Data
Morgan & Claypool | English | 2019 | ISBN-10: 1681734427 | 159 pages | PDF | 8.52 MB

by Lirong Xia (Author), Ronald Brachman (Editor), Francesca Rossi (Editor)
The ubiquitous challenge of learning and decision-making from rank data arises in situations where intelligent systems collect preference and behavior data from humans, learn from the data, and then use the data to help humans make efficient, effective, and timely decisions. Often, such data are represented by rankings