A Dynamic-Rule-Based Framework of Engineering Drawing Recognition and Interpretation System

2007 ◽  
pp. 1006-1017
Author(s):  
Ruoyu Yang ◽  
Tong Lu ◽  
Shijie Cai
Keyword(s):  
Engineering Drawing ◽  
Rule Based ◽  
Interpretation System

A rule-based interpretation system for segmentation of seismic images

1987 ◽  
Vol 20 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Zhen Zhang ◽  
M. Simaan
Keyword(s):  
Rule Based ◽  
Interpretation System ◽  
Seismic Images

A Rule-Based Interpretation System For Signal Images

1986 ◽  
Author(s):  
Zhen Zhang ◽  
M . Simaan
Keyword(s):  
Rule Based ◽  
Interpretation System

Using Conventional Articulation Tests With Highly Unintelligible Children

1992 ◽  
Vol 23 (1) ◽  
pp. 52-60 ◽  
Author(s):  
Pamela G. Garn-Nunn ◽  
Vicki Martin
Keyword(s):  
Test Results ◽  
Phonological Processes ◽  
Rule Based ◽  
Severity Level ◽  
Error Sensitivity ◽  
Conventional Tests ◽  
Severity Levels ◽  
Conventional Test ◽  
Impaired Children

This study explored whether or not standard administration and scoring of conventional articulation tests accurately identified children as phonologically disordered and whether or not information from these tests established severity level and programming needs. Results of standard scoring procedures from the Assessment of Phonological Processes-Revised, the Goldman-Fristoe Test of Articulation, the Photo Articulation Test, and the Weiss Comprehensive Articulation Test were compared for 20 phonologically impaired children. All tests identified the children as phonologically delayed/disordered, but the conventional tests failed to clearly and consistently differentiate varying severity levels. Conventional test results also showed limitations in error sensitivity, ease of computation for scoring procedures, and implications for remediation programming. The use of some type of rule-based analysis for phonologically impaired children is highly recommended.

Haunted by a Doppelgänger

2014 ◽  
Vol 61 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Bettina von Helversen ◽  
Stefan M. Herzog ◽  
Jörg Rieskamp
Keyword(s):  
Relevant Information ◽  
Psychological Research ◽  
Decision Makers ◽  
Human Judgment ◽  
Rule Based ◽  
New Employees ◽  
High Performing ◽  
Facial Similarity ◽  
Similarity Effect ◽  
Judgment Strategy

Judging other people is a common and important task. Every day professionals make decisions that affect the lives of other people when they diagnose medical conditions, grant parole, or hire new employees. To prevent discrimination, professional standards require that decision makers render accurate and unbiased judgments solely based on relevant information. Facial similarity to previously encountered persons can be a potential source of bias. Psychological research suggests that people only rely on similarity-based judgment strategies if the provided information does not allow them to make accurate rule-based judgments. Our study shows, however, that facial similarity to previously encountered persons influences judgment even in situations in which relevant information is available for making accurate rule-based judgments and where similarity is irrelevant for the task and relying on similarity is detrimental. In two experiments in an employment context we show that applicants who looked similar to high-performing former employees were judged as more suitable than applicants who looked similar to low-performing former employees. This similarity effect was found despite the fact that the participants used the relevant résumé information about the applicants by following a rule-based judgment strategy. These findings suggest that similarity-based and rule-based processes simultaneously underlie human judgment.

A Neurocomputational Model of Criterion Learning in Rule-Based Categorization

2012 ◽  
Author(s):  
Sebastien Helie ◽  
Shawn W. Ell ◽  
J. Vincent Filoteo ◽  
Brian D. Glass ◽  
W. W. Todd Maddox
Keyword(s):  
Rule Based ◽  
Criterion Learning

Difficult rule-based category learning benefits from massed practice

2009 ◽  
Author(s):  
Michael A. Garcia ◽  
Nate Kornell ◽  
Robert A. Bjork
Keyword(s):  
Category Learning ◽  
Massed Practice ◽  
Rule Based
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