نتایج جستجو برای: random guessing

تعداد نتایج: 286173  

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2012
Ronald van den Berg Hongsup Shin Wen-Chuang Chou Ryan George Wei Ji Ma

It is commonly believed that visual short-term memory (VSTM) consists of a fixed number of "slots" in which items can be stored. An alternative theory in which memory resource is a continuous quantity distributed over all items seems to be refuted by the appearance of guessing in human responses. Here, we introduce a model in which resource is not only continuous but also variable across items ...

Journal: :Psychological science 2013
Taosheng Liu Mark W Becker

Previous research suggests that there is a limit to the rate at which items can be consolidated in visual short-term memory (VSTM). This limit could be due to either a serial or a limited-capacity parallel process. Historically, it has proven difficult to distinguish between these two types of processes. In the present experiment, we took a novel approach that allowed us to do so. Participants ...

Journal: :Journal of Symbolic Computation 2013

Journal: :CoRR 2016
Mohit Thakur

In this article, we show how the finding the number of partitions of same size of a positive integer show up in caching networks. We present a stochastic model for caching where user requests (represented with positive integers) are a random process with uniform distribution and the sum of user requests plays an important role to tell us about the nature of the caching process. We discuss Euler...

2007
SOPHIA RABE-HESKETH ANDERS SKRONDAL

Composite links and exploded likelihoods are powerful yet simple tools for specifying a wide range of latent variable models. Applications considered include survival or duration models, models for rankings, small area estimation with census information, models for ordinal responses, item response models with guessing, randomized response models, unfolding models, latent class models with rando...

2012
Daniel Hernández-Lobato Gonzalo Martínez-Muñoz Alberto Suárez

In randomized parallel ensembles the class label predictions for a particular instance by different ensemble classifiers are independent random variables. Taking advantage of this independence we design a statistical test to identify instances near the decision borders, which are difficult to classify because of their proximity to these borders. For these instances, the performance of the ensem...

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