Correction to: Bayesian active probabilistic classification for psychometric field estimation
نویسندگان
چکیده
منابع مشابه
Psychometric function estimation by probabilistic classification.
Conventional psychometric function (PF) estimation involves fitting a parametric, unidimensional sigmoid to binary subject responses, which is not readily extendible to higher order PFs. This study presents a nonparametric, Bayesian, multidimensional PF estimator that also relies upon traditional binary subject responses. This technique is built upon probabilistic classification (PC), which att...
متن کاملMulti-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when choosing transmission rates in video streaming or selecting peers in peer-to-peer applications. We introduce probabilistic available bandwidth, which is defined in terms of ingress rates and egress rates of traffic on a ...
متن کاملBayesian Active Learning for Posterior Estimation
This paper studies active posterior estimation in a Bayesian setting when the likelihood is expensive to evaluate. Existing techniques for posterior estimation are based on generating samples representative of the posterior. Such methods do not consider efficiency in terms of likelihood evaluations. In order to be query efficient we treat posterior estimation in an active regression framework. ...
متن کاملMulti-Spectral Probabilistic Diffusion Using Bayesian Classification
This paper proposes a diiusion scheme for multi-spectral images which incorporates both spatial derivatives and feature-space clas-siication. A variety of conductance terms are suggested that use the posterior probability maps and their spatial derivatives to create resis-tive boundaries that reeect objectness rather than intensity diierences alone. A theoretical test case is discussed as well ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Attention, Perception, & Psychophysics
سال: 2018
ISSN: 1943-3921,1943-393X
DOI: 10.3758/s13414-018-1565-0