A nonparametric Bayesian approach toward robot learning by demonstration

2012 ◽  
Vol 60 (6) ◽  
pp. 789-802 ◽  
Author(s):  
Sotirios P. Chatzis ◽  
Dimitrios Korkinof ◽  
Yiannis Demiris
Keyword(s):  
Bayesian Approach ◽  
Robot Learning ◽  
Nonparametric Bayesian ◽  
Learning By Demonstration

Recent Advances on Vision-Based Robot Learning by Demonstration

2018 ◽  
Vol 11 (4) ◽  
pp. 269-284
Author(s):  
Hongxin Zhang ◽  
Xingyu Lv ◽  
Wancong Leng ◽  
Xuefeng Ma
Keyword(s):  
Robot Learning ◽  
Learning By Demonstration ◽  
Recent Advances

Nonparametric Bayesian Approach for Optimal Burn-in

1998 ◽  
pp. 261-279
Author(s):  
Way Kuo ◽  
Wei-Ting Kary Chien ◽  
Taeho Kim
Keyword(s):  
Bayesian Approach ◽  
Nonparametric Bayesian

scholarly journals Claims Reserving in Continuous Time; A Nonparametric Bayesian Approach

1996 ◽  
Vol 26 (2) ◽  
pp. 139-164 ◽  
Author(s):  
Svend Haastrup ◽  
Elja Arjas
Keyword(s):  
Bayesian Approach ◽  
Posterior Distribution ◽  
Continuous Time ◽  
Marked Point ◽  
Marked Point Process ◽  
Nonparametric Bayesian ◽  
Occurrence Time ◽  
One Dimensional ◽  
The Individual ◽  
Reporting Delay

AbstractOccurrences and developments of claims are modelled as a marked point process. The individual claim consists of an occurrence time, two covariates, a reporting delay, and a process describing partial payments and settlement of the claim. Under certain likelihood assumptions the distribution of the process is described by 14 one-dimensional components. The modelling is nonparametric Bayesian. The posterior distribution of the components and the posterior distribution of the outstanding IBNR and RBNS liabilities are found simultaneously. The method is applied to a portfolio of accident insurances.

scholarly journals Network Anomaly Intrusion Detection Using a Nonparametric Bayesian Approach and Feature Selection

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 52181-52190 ◽  
Author(s):  
Wajdi Alhakami ◽  
Abdullah ALharbi ◽  
Sami Bourouis ◽  
Roobaea Alroobaea ◽  
Nizar Bouguila
Keyword(s):  
Feature Selection ◽  
Intrusion Detection ◽  
Bayesian Approach ◽  
Nonparametric Bayesian ◽  
Anomaly Intrusion Detection

Unsupervised Profiling of Microglial Arbor Morphologies and Distribution Using a Nonparametric Bayesian Approach

2016 ◽  
Vol 10 (1) ◽  
pp. 115-129 ◽  
Author(s):  
Yan Xu ◽  
Murad Megjhani ◽  
Kristen Trett ◽  
William Shain ◽  
Badrinath Roysam ◽  
...  
Keyword(s):  
Bayesian Approach ◽  
Nonparametric Bayesian
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