Formal Requirements of Markov State Models for Paired Associate Learning [0.03%]
配对联想学习的马尔可夫状态模型的形式要求
Konstantinos V. Katsikopoulos,Donald L. Fisher
Konstantinos V. Katsikopoulos
Discrete state learning models that make Markov assumptions are a powerful tool for the analysis and optimization of performance in paired associate tasks. We seek here to derive bounds on the complexity needed by such models in order to ac...
Independent Sampling vs Interitem Dependencies in Whole Report Processing: Contributions of Processing Architecture and Variable Attention [0.03%]
独立采样与项间依赖在全文报告处理中的作用：处理架构和变量注意的贡献
Thomas A. Busey,James T. Townsend
Thomas A. Busey
All current models of visual whole report processing assume perceptual independence among the displayed items in which the perceptual processing of individual items is not affected by other items in the display. However, models proposed by ...
Time Preference for Health: A Test of Stationarity versus Decreasing Timing Aversion [0.03%]
健康的时间偏好：关于时间规避恒定性与时间规避减少的检验
Han Bleichrodt,Magnus Johannesson
Han Bleichrodt
This paper provides a new and more robust test of the descriptive validity of the constant rate discounted utility model in medical decision analysis. The constant rate discounted utility model is compared with two competing theories, Harve...
David B. MacKay
David B. MacKay
Using a probabilistic model, exact and approximate probability density functions (PDFs) for city-block distances and distance ratios are developed. The model assumes that stimuli can be represented by random vectors having multivariate norm...
Guanzhong Luo
Guanzhong Luo
By revisiting the approaches used to present the Rasch model for polytomous response, this paper uses the principle of the rating formulation (Andrich, 1978) to construct a class of unfolding models for polytomous responses in terms of a se...
Jean-Luc Marichal,Pierre Mathonet
Jean-Luc Marichal
This paper will give a description of all continuous functions which are comparison meaningful in the sense of measurement theory. Copyright 2001 Academic Press.
TELEGRAPHIC REVIEWS [0.03%]
电讯书评
Richard A. Chechile
Richard A. Chechile
Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities [0.03%]
多元极值分布和排名概率覆盖范围
Harry Joe
Harry Joe
The main result in this paper is that the class of multivariate extreme value distributions, when used as random utility models, can approximate all ranking probability distributions. This extends Theorem 1 of Dagsvik (1995). Copyright 2001...
R. Duncan Luce
R. Duncan Luce
Within the framework of separable utility theory, a condition, called reduction invariance, is shown to be equivalent to the 2-parameter family of weighting functions that Prelec (1998) derived from the condition called compound invariance....
Determining the Dimensionality of Multidimensional Scaling Representations for Cognitive Modeling [0.03%]
认知建模中确定多维标度表示的维度大小
Michael D. Lee
Michael D. Lee
Multidimensional scaling models of stimulus domains are widely used as a representational basis for cognitive modeling. These representations associate stimuli with points in a coordinate space that has some predetermined number of dimensio...