Application of Bayesian Decision Theory Based on Prior Information in the Multi-Objective Optimization Problem by Xia Lei, Maozhu Jin, Qiang Wang

Get full text

Improved Spatiotemporal Information Fusion Approach Based on Bayesian Decision Theory for Land Cover Classification by Yan Jin, Xudong Guan, Yong Ge, Yan Jia, Wenmei Li

“…The fusion processes focused on the single level, especially the pixel level, could ignore the different phenology changes and land cover changes. Based on Bayesian decision theory, this paper proposes a novel decision-level fusion for multisensor data to classify the land cover. …”
Get full text

Research on the realization path of ideological and political education goals in colleges and universities based on Bayesian decision theory by Liao Yuting

Subjects: “…bayesian decision theory…”
Get full text

An optimal dose-finding technique based on bayesian decision theory for oncology phase I/II clinical trials by Loke, Yee Chong

“…The proposed design utilizes a Bayesian decision theory to look at either single event of toxicity or a combined event of both toxicity and efficacy to obtain an optimal dose for a Phase VII clinical trial study. …”
Get full text

Dealing with uncertainty in sensorimotor control in sports: A systematic review by Damian Beck, Stephan Zahno, Ernst-Joachim Hossner

Subjects: Get full text

Using illusions to understand delusions by Thomas P White, Sukhi S Shergill

Subjects: Get full text

Fact, Fiction, and Fitness by Chetan Prakash, Chris Fields, Donald D. Hoffman, Robert Prentner, Manish Singh

Subjects: Get full text

Neural correlates of valence-dependent belief and value updating during uncertainty reduction: An fNIRS study by Xue-Rui Peng, Indra Bundil, Stefan Schulreich, Shu-Chen Li

Subjects: Get full text

On the Conjecture of Berry Regarding a Bernoulli Two-Armed Bandit by Jichen Zhang, Panyu Wu

Subjects: Get full text

The Benefit of Informed Risk-Based Management of Civil Infrastructures by Pier Francesco Giordano, Maria Pina Limongelli

Subjects: “…Bayesian decision theory…”
Get full text

Optimal Stopping Policy for Multivariate Sequences a Generalized Best Choice Problem

Subjects: “…Best choice problem; Asset allocation; Optimal stopping rule;Stochastic dynamic programming; Bayesian decision theory; Mixed model…”
Get full text

9.913-C Pattern Recognition for Machine Vision, Spring 2002 by Poggio, Tomaso, Heisele, Bernd, Ivanov, Yuri A., 1967-

Subjects: Get full text

The practicalities of scaling Bayesian neural networks to real-world applications by Cobb, AD

“…One contribution of this work is to offer a new method for implementing Bayesian neural networks within the framework of Bayesian decision theory, where Bayesian decision theory is important in all decision-making applications. …”

Introduction to machine learning / by 458465 Alpaydin, Ethem

Towards a neuro-computational account of prism adaptation by Petitet, P, O'Reilly, J, O'Shea, J

“…In this paper, we illustrate how Bayesian decision theory and state-space models offer principled explanations for a range of behavioural phenomena in the field of prism adaptation (e.g. visual capture, magnitude of visual versus proprioceptive realignment, spontaneous recovery and dynamics of adaptation memory). …”

Machines Imitating Human Thinking Using Bayesian Learning and Bootstrap by Sunghae Jun

“…In this paper, we propose a method for building thinking machines imitating humans using Bayesian decision theory and learning. Bayesian statistics involves a learning process based on prior and posterior aspects. …”
Get full text

SMC samplers for Bayesian optimal nonlinear design by Kueck, H, de Freitas, N, Doucet, A, IEEE

“…It arises in the planning of medical trials, sensor network deployment and control as well as in costly data gathering in physics, chemistry and biology. Bayesian decision theory provides a principled way of treating this problem, but leads to an intractable joint optimization and integration problem. …”

Machine Learning : A Bayesian and Optimization Perspective / by Theodoridis, Sergios, author 209129, ScienceDirect (Online service) 7722

“…The book starts with the basics, including mean square, least squares and maximum likelihood methods, ridge regression, Bayesian decision theory classification, logistic regression, and decision trees. …”
Get full text

Dimensionality Reduction Applied to Spam Filtering using Bayesian Classifiers by Tiago A. Almeida, Akebo Yamakami

“…Fortunately, there are different approaches able to automatically detect and remove most of these messages, and the best-known ones are based on Bayesian decision theory. However, the most of these probabilistic approaches have the same difficulty: the high dimensionality of the feature space. …”
Get full text

Sensory expectations based on product-extrinsic food cues: An interdisciplinary review of the empirical evidence and theoretical accounts by Piqueras-Fiszman, B, Spence, C

“…Crucially, this review goes beyond previous work in the area by highlighting the relevant cognitive neuroscience literature (see the section 'Applied research through the lens of cognitive neuroscience methods') and the postulated psychological mechanisms of expectation in terms of recent accounts of predictive coding and Bayesian decision theory (see the 'Predictive coding and expectations'section).…”