Javascript must be enabled to continue!
Opinion Pooling
View through CrossRef
Disagreement is a common feature of a social world. For various reasons, however, we sometimes need to resolve a disagreement into a single set of opinions. This can be achieved by pooling the opinions of individuals that make up the group. In this Element, we provide an opinionated survey on some ways of pooling opinions: linear pooling, multiplicative pooling (including geometric), and pooling through imprecise probabilities. While we give significant attention to the axiomatic approach in evaluating pooling strategies, we also evaluate them in terms of the epistemic and practical goals they might meet. In doing so, we connect opinion pooling to some philosophical problems in social epistemology and the philosophy of action, illuminating different perspectives one might take when figuring out how to pool opinions for a given purpose. This title is also available as Open Access on Cambridge Core.
Title: Opinion Pooling
Description:
Disagreement is a common feature of a social world.
For various reasons, however, we sometimes need to resolve a disagreement into a single set of opinions.
This can be achieved by pooling the opinions of individuals that make up the group.
In this Element, we provide an opinionated survey on some ways of pooling opinions: linear pooling, multiplicative pooling (including geometric), and pooling through imprecise probabilities.
While we give significant attention to the axiomatic approach in evaluating pooling strategies, we also evaluate them in terms of the epistemic and practical goals they might meet.
In doing so, we connect opinion pooling to some philosophical problems in social epistemology and the philosophy of action, illuminating different perspectives one might take when figuring out how to pool opinions for a given purpose.
This title is also available as Open Access on Cambridge Core.
Related Results
Pooling Operations in Deep Learning: From “Invariable” to “Variable”
Pooling Operations in Deep Learning: From “Invariable” to “Variable”
Deep learning has become a research hotspot in multimedia, especially in the field of image processing. Pooling operation is an important operation in deep learning. Pooling operat...
FPGA implementation of AAD pooling unit and performance analysis
FPGA implementation of AAD pooling unit and performance analysis
Convolutional Neural Network (CNN) has been witnessing a massive growth for its various applications in different fields. It is a category of Neural Network or Deep learning that i...
Rethinking Pooling Operation for Liver and Liver-Tumor Segmentations
Rethinking Pooling Operation for Liver and Liver-Tumor Segmentations
Deep convolutional neural networks (DCNNs) have been widely used in medical image segmentation due to their excellent feature learning ability. In these DCNNs, the pooling operatio...
Aspect level public opinion detection, tracking and visualization on social media
Aspect level public opinion detection, tracking and visualization on social media
The desire, want, and thinking of the majority of people on one issue or problem is called Public Opinion. Public opinions have various impacts on many perspectives of human societ...
A Systematic Review of Wavelet-Based Pooling for Enhancing GANs: Central Trends, Auxiliary Pooling Strategies, and Complementary Wavelet Integrations
A Systematic Review of Wavelet-Based Pooling for Enhancing GANs: Central Trends, Auxiliary Pooling Strategies, and Complementary Wavelet Integrations
Abstract
Generative Adversarial Networks (GANs) have revolutionized data synthesis across various domains, including medical image analysis, computer vision, and si...
Jeffrey Pooling
Jeffrey Pooling
How should your opinion change in response to the opinion of an epistemic peer? We show that the pooling rule known as "upco" is the unique answer satisfying some natural desiderat...
Learning Visual Spatial Pooling by Strong PCA Dimension Reduction
Learning Visual Spatial Pooling by Strong PCA Dimension Reduction
In visual modeling, invariance properties of visual cells are often explained by a pooling mechanism, in which outputs of neurons with similar selectivities to some stimulus parame...
Examining LDA2Vec and Tweet Pooling for Topic Modeling on Twitter Data
Examining LDA2Vec and Tweet Pooling for Topic Modeling on Twitter Data
The short lengths of tweets present a challenge for topic modeling to extend beyond what is provided explicitly from hashtag information. This is particularly true for LDAbased met...

