where V (r|r) = 0, v is concave, and > 1 implies loss aversion. Note that this implies that the value function V (x|r) is concave for gains (xi r) and convex for losses (xi < r). Under CPT, the probability weighting function w : [0, 1] ! [0, 1] transforms objective probabilities into decision weights ⇡. The weighting function w is assumed to satisfy the reflection property, assigning the same w...

In this article we report on a study of how to use the context tree weight-ing (CTW) algorithm for lossless image compression. This algorithm has been shown to perform optimally, in terms of redundancy, for a wide class of data sources. Our study shows that this algorithm can successfully be applied to image compression even in its basic form. We also report on possible modiica-tions of the bas...

In this paper, the selection of H = weighting functions for general practical applications is investigated. It is shown that an H = weighting function for a single-input}single-output (SISO) plant can be obtained by considering a series of connections of elementary low-order plants. For a constrained control e!ort, an explicit weighting function expression is derived for the "rst time. A novel ...

Traditionally, content-based news recommendation is performed by means of the cosine similarity and the TF-IDF weighting scheme for terms occurring in news messages and user profiles. Semanticsdriven variants like SF-IDF additionally take into account term meaning by exploiting synsets from semantic lexicons. However, semantics-based weighting techniques are not able to handle – often crucial –...

Based on fuzzy set theory, this paper proposes a novel weighting method for spatial adaptive patch-based image denoising algorithm which can be considered as an extension of nonlocal means filtering. First, a fuzzy clustering algorithm for weighting data points is applied to reduce the estimate bias which arises from the unrelated points. The weighting function is determined by optimal fuzzy pa...

We shall assume that each problem function has sufficiently many continuous derivatives for any implicit assumptions that we make to hold. One of the most successful tools for solving problems of the form NLP and SIP is the penalty function. A penalty-function approach replaces the relevant problem by a suitably weighted combination of the objective function f(x) and functions representing viol...

This paper describes an approach to utilizing term weights for sentiment analysis tasks and shows how various term weighting schemes improve the performance of sentiment analysis systems. Previously, sentiment analysis was mostly studied under data-driven and lexicon-based frameworks. Such work generally exploits textual features for fact-based analysis tasks or lexical indicators from a sentim...

Semi-airborne transient electromagnetics (SATEM) is a geophysical survey tool known for its ability to perform three-dimensional (3D) observations and collect high-density data in large volumes. However, SATEM processing presently restricted 3D model-driven inversion, which not conducive detailed surveys. This paper presents new model- data-driven inversion algorithm using the particle swarm op...

semi-active base isolation system has been proposed mainly to mitigate the base drift of isolated structures while in most cases, its application causes the maximum acceleration of superstructure to be increased. in this paper, designing optimal semi-active base isolation system composed of linear base isolation system with low damping and magneto-rheological (mr) damper has been studied for co...