Erratum: Salience

Erratum

Deep Salience: Visual Salience Modeling via Deep Belief Propagation

Visual salience is an intriguing phenomenon observed in biological neural systems. Numerous attempts have been made to model visual salience mathematically using various feature contrasts, either locally or globally. However, these algorithmic models tend to ignore the problem’s biological solutions, in which visual salience appears to arise during the propagation of visual stimuli along the...

Salience and Asset Prices

In Bordalo, Gennaioli, and Shleifer (2012a)— henceforth, BGS (2012a)—we described a new approach to choice under risk that we called salience theory. In comparisons of risky lotteries, we argued, individuals’ attention is drawn to those payoffs which are most different or salient relative to the average. In making choices, individuals overweight these salient payoffs relative to their objective...

Salience-Affected Neural Networks

We present a simple neural network model which combines a locally-connected feedforward structure, as is traditionally used to model inter-neuron connectivity, with a layer of undifferentiated connections which model the diffuse projections from the human limbic system to the cortex. This new layer makes it possible to model global effects such as salience, at the same time as the local network...

On Evidential Feature Salience

This paper describes a method for estimating the salience of features comprising conceptual descriptions of software artifacts. Salience estimates are used in a model analyzing the similarity between such descriptions so as to promote the analogical reuse of the artifacts described by them. Salience is conceived as belief on the dominance of a feature, which is defined on the basis of three gen...