In speech perception, children give particular patterns of weight to different acoustic cues (their cue weighting). These patterns appear to change with increased linguistic experience. Previous speech perception research has found a positive correlation between more analytical cue weighting strategies and the ability to consciously think about and manipulate segment-sized units (phonemic aware...

Non-response is a problem which pervades almost all survey research. This paper reviews ways in which adjustments for the biasing effects of non-response can be made at the analysis stage. The emphasis is practical rather than theoretical. Practical constraints on the choice of weighting method (or whether to weight at all) are discussed, as well as statistical implications and how to assess th...

Moving away from the restrictive practise of viewing units as the only legitimate rep-resentational resource in connectionist networks, in this paper I detail the Microprocdural Proposal for a connectionist procedural semantics, which views populations of weights as microprocedural representations. Examining some of its major criticisms, I argue that procedural semantics can more prootably be c...

Acquisition-weighting improves the localization of MRI experiments. An approach to acquisition-weighting in a purely phase-encoded experiment is presented that is based on a variation of the sampling density in k-space. In contrast to conventional imaging or to accumulation-weighting, where k-space is sampled with uniform increments, density-weighting varies the distance between neighboring sam...

Many of the conventional similarity methods assume that molecular fragments that do not relate to biological activity carry the same weight as the important ones. One possible approach to this problem is to use the Bayesian inference network (BIN), which models molecules and reference structures as probabilistic inference networks. The relationships between molecules and reference structures in...

A primary concern when using local search methods for CNF satisfiability is how to get rid of local minimas. Among many other heuristics, Weighting by Morris (1993) and Selman and Kautz (1993) works overwhelmingly better than others (Cha and Iwama 1995). Weighting increases the weight of each clause which is unsatisfied at a local minima. This paper introduces a more sophisticated weighting str...

A probability weighting function (w(p)) is considered to be a nonlinear function of probability (p) in behavioral decision theory. This study proposes a psychophysical model of probability weighting functions derived from a hyperbolic time discounting model and a geometric distribution. The aim of the study is to show probability weighting functions from the point of view of waiting time for a ...

This document reviews the history, development, and use of auditory weighting functions for noise impact assessment in humans and marine mammals. Advances from the modern era of electroacoustics, psychophysical studies of loudness, and other related hearing studies are reviewed with respect to the development and application of human auditory weighting functions, particularly A-weighting. The u...

Bags of visual words are the most studied image description technique in the last years. This representation of images raised new possibilities as well as new research issues. In particular, it is important to automatically determine which visual words are the most relevant to describe the images, and which ones should be ignored. This issue is a classical problem of textual information retriev...