Results 31 to 40 of about 4,826,112 (291)

Prompting deliberation increases base-rate use [PDF]

open access: yesJudgment and Decision Making, 2016
People often base judgments on stereotypes, even when contradictory base-rate information is provided. In a sample of 438 students from two state universities, we tested several hypotheses regarding why people would prefer stereotype information over ...
Natalie A. Obrecht, Dana L. Chesney
doaj  

A novel optimization method for belief rule base expert system with activation rate

open access: yesScientific Reports, 2023
Although the belief rule base (BRB) expert system has many advantages, such as the effective use of semi-quantitative information, objective description of uncertainty, and efficient nonlinear modeling capability, it is always limited by the problem of ...
Gang Xiang   +4 more
doaj   +1 more source

A New Analysis of the DS-CDMA Cellular Uplink Under Spatial Constraints [PDF]

open access: yes, 2013
A new analysis is presented for the direct-sequence code-division multiple access (DS-CDMA) cellular uplink. For a given network topology, closed-form expressions are found for the outage probability and rate of each uplink in the presence of path ...
Talarico, Salvatore   +2 more
core   +1 more source

The impact of changes in the base and precious metals prices on credit risk factors [PDF]

open access: yesMegatrend Revija, 2020
The changes in the prices of base and precious metals on the global metal market have a significant impact on credit risk factors. The link between these factors has been neglected over the years by traditional credit risk models.
Živanović Vladimir
doaj  

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski   +59 more
wiley   +1 more source

Evaluating the Role of Monetary Policy Shocks on Asset Price Bubbles and Index in Iran [PDF]

open access: yesاقتصاد باثبات
Increasing asset prices above their fundamental values leads to the creation of asset price bubbles. Asset price bubbles pose a threat to financial stability and macroeconomic stability. However, there is no consensus on how policymakers should deal with
Seyyed mohammad reza Hosseini jahromi   +2 more
doaj   +1 more source

Utility of Computed Tomography Surveillance of Asymptomatic Infection in Children and Young Adults Before Allogeneic Hematopoietic Stem Cell Transplant

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Asymptomatic infection poses a significant risk for children undergoing hematopoietic stem cell transplantation (HSCT). Pre‐transplant surveillance computed tomography (CT) is commonly used to identify occult infection, though its diagnostic yield remains uncertain.
Tyler Obermark   +9 more
wiley   +1 more source

Implications of Different Bases for a VAT [PDF]

open access: yes, 2012
Analyzes options for a value-added tax: a low rate on a broad base to meet deficit reduction targets; a high rate on a narrow base that excludes items disproportionately consumed by lower-income households; or a broad base with a targeted ...
Eric Toder, Jim Nunns, Joseph Rosenberg
core  

Effects of exemplars and base-rate information on online physician rating sites

open access: yesStudies in Communication, Media, 2018
In recent years, the number of users on online physician rating sites has increased continuously. According to exemplification theory, user comments have a strong influence on individual judgments.
Anne Reinhardt   +2 more
doaj   +1 more source

Rating-Based Reinforcement Learning

open access: yesProceedings of the AAAI Conference on Artificial Intelligence
This paper develops a novel rating-based reinforcement learning approach that uses human ratings to obtain human guidance in reinforcement learning. Different from the existing preference-based and ranking-based reinforcement learning paradigms, based on human relative preferences over sample pairs, the proposed rating-based reinforcement learning ...
White, Devin   +5 more
openaire   +2 more sources

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