scholarly journals Testing curvatures of learning functions on individual trial and block average data

2003 ◽  
Vol 35 (4) ◽  
pp. 493-503 ◽  
Author(s):  
Denis Cousineau ◽  
Sébastien Hélie ◽  
Christine Lefebvre
Keyword(s):  
Average Data ◽  
Individual Trial ◽  
Learning Functions ◽  
Block Average

Averaging Trials Versus Averaging Trial Peaks: Impact on Study Outcomes

2017 ◽  
Vol 33 (3) ◽  
pp. 233-236 ◽  
Author(s):  
Kevin D. Dames ◽  
Jeremy D. Smith ◽  
Gary D. Heise
Keyword(s):  
Phase Shift ◽  
Average Data ◽  
Paired Samples ◽  
Individual Trial ◽  
Dependent Variables ◽  
Data Points ◽  
Multiple Trials ◽  
Average Profile ◽  
Better Than ◽  
Peak Value

Gait data are commonly presented as an average of many trials or as an average across participants. Discrete data points (eg, maxima or minima) are identified and used as dependent variables in subsequent statistical analyses. However, the approach used for obtaining average data from multiple trials is inconsistent and unclear in the biomechanics literature. This study compared the statistical outcomes of averaging peaks from multiple trials versus identifying a single peak from an average profile. A series of paired-samples t tests were used to determine whether there were differences in average dependent variables from these 2 methods. Identifying a peak value from the average profile resulted in significantly smaller magnitudes of dependent variables than when peaks from multiple trials were averaged. Disagreement between the 2 methods was due to temporal differences in trial peak locations. Sine curves generated in MATLAB confirmed this misrepresentation of trial peaks in the average profile when a phase shift was introduced. Based on these results, averaging individual trial peaks represents the actual data better than choosing a peak from an average trial profile.

PENERAPAN SUPERVISI AKADEMI UNTUK MENINGKATKAN MOTIVASI BERPRESTASI GURU SD NEGERI 009 TELUK PAUH KECAMATAN CIRENTI

2018 ◽  
Vol 2 (5) ◽  
pp. 820
Author(s):  
Raja Revolin Ismail
Keyword(s):  
Data Analysis ◽  
Action Research ◽  
Achievement Motivation ◽  
Average Data ◽  
Physical Data ◽  
Data Analysis Technique ◽  
Analysis Technique

This research is a school action research that aims to improve teacher achievement through academicsupervision. This research was conducted at SD Negeri 009 Teluk Pauh, Cirenti District. The subjects of thisstudy were teachers of SD Negeri 009 Teluk Pauh, Cirenti Subdistrict with a total number of 12 people,consisting of 4 men and 8 women. This research was carried out in two cycles carried out based on the stages ofplanning, implementation and reflection. The data used is physical data. The average data analysis technique isdescriptive method. The results showed that teacher achievement motivation in the first cycle was 60.1% withgood categories and the cycle increased to 81.6% with very good categories.

Applying Deep Learning to Audit Procedures: An Illustrative Framework

2019 ◽  
Vol 33 (3) ◽  
pp. 89-109 ◽  
Author(s):  
Ting (Sophia) Sun
Keyword(s):  
Decision Making ◽  
Deep Learning ◽  
Data Warehouse ◽  
Visual Recognition ◽  
Prediction Models ◽  
Historical Data ◽  
Structured Data ◽  
Text Understanding ◽  
Audit Data ◽  
Learning Functions

SYNOPSIS This paper aims to promote the application of deep learning to audit procedures by illustrating how the capabilities of deep learning for text understanding, speech recognition, visual recognition, and structured data analysis fit into the audit environment. Based on these four capabilities, deep learning serves two major functions in supporting audit decision making: information identification and judgment support. The paper proposes a framework for applying these two deep learning functions to a variety of audit procedures in different audit phases. An audit data warehouse of historical data can be used to construct prediction models, providing suggested actions for various audit procedures. The data warehouse will be updated and enriched with new data instances through the application of deep learning and a human auditor's corrections. Finally, the paper discusses the challenges faced by the accounting profession, regulators, and educators when it comes to applying deep learning.

Intelligent Drug Development

2014 ◽  
Author(s):  
Michael Tansey
Keyword(s):  
Clinical Trials ◽  
Cost Effectiveness ◽  
Drug Development ◽  
Clinical Research ◽  
Development Process ◽  
Drug Development Process ◽  
Individual Trial ◽  
Specific Technology

Clinical research is heavily regulated and involves coordination of numerous pharmaceutical-related disciplines. Each individual trial involves contractual, regulatory, and ethics approval at each site and in each country. Clinical trials have become so complex and government requirements so stringent that researchers often approach trials too cautiously, convinced that the process is bound to be insurmountably complicated and riddled with roadblocks. A step back is needed, an objective examination of the drug development process as a whole, and recommendations made for streamlining the process at all stages. With Intelligent Drug Development, Michael Tansey systematically addresses the key elements that affect the quality, timeliness, and cost-effectiveness of the drug-development process, and identifies steps that can be adjusted and made more efficient. Tansey uses his own experiences conducting clinical trials to create a guide that provides flexible, adaptable ways of implementing the necessary processes of development. Moreover, the processes described in the book are not dependent either on a particular company structure or on any specific technology; thus, Tansey's approach can be implemented at any company, regardless of size. The book includes specific examples that illustrate some of the ways in which the principles can be applied, as well as suggestions for providing a better context in which the changes can be implemented. The protocols for drug development and clinical research have grown increasingly complex in recent years, making Intelligent Drug Development a needed examination of the pharmaceutical process.

TensorFlow: learning functions at scale

2016 ◽  
Vol 51 (9) ◽  
pp. 1-1 ◽  
Author(s):  
Martín Abadi
Keyword(s):  
Learning Functions

scholarly journals Violet-light stimulated synaptic and learning functions in a zinc–tin oxide photoelectric transistor for neuromorphic computation

RSC Advances ◽  
2020 ◽  
Vol 10 (70) ◽  
pp. 42682-42687
Author(s):  
Ting-Ruei Lin ◽  
Li-Chung Shih ◽  
Po-Jen Cheng ◽  
Kuan-Ting Chen ◽  
Jen-Sue Chen
Keyword(s):  
Thin Film ◽  
Tin Oxide ◽  
Thin Film Transistor ◽  
Violet Light ◽  
Learning Functions ◽  
Zinc Tin Oxide

Photonic potentiation and electric depression are realized in a ZTO thin film transistor for the application in neuromorphic computation.

scholarly journals Defining the Threshold of Permissible Risk for Non-therapeutic Clinical Trials with Children in Europe

2017 ◽  
Vol 24 (4) ◽  
pp. 414-431
Author(s):  
Katherine Wade*
Keyword(s):  
Clinical Trials ◽  
Medical Care ◽  
Medicinal Products ◽  
Council Of Europe ◽  
Therapeutic Trials ◽  
Research With Children ◽  
Individual Trial ◽  
The One ◽  
Definition Of ◽  
Trial Participants

Abstract It is important that clinical research with children is encouraged so that they are not exposed to the dangers of extrapolation from adult treatments. Clinical trials with investigational medicinal products (imps) are an important part of improving medical care for children. Both the 2001 Clinical Trials Directive and the 2014 Regulation recognise the need for such research, including the need for non-therapeutic trials with imps. However, it is also recognised that a balance must be struck between permitting tailored medical care for children as a group on the one hand, and protecting individual trial participants from harm on the other. A central issue in striking this balance relates to defining the threshold of risk which should be permitted in such research. This article provides a critical analysis of the current European law in relation to the definition of acceptable risk for non-therapeutic clinical trials with imps and makes recommendations for reform, drawing on law from the Council of Europe, as well as law from the us.

Age features of the progenic ratio of the dentition

1982 ◽  
Vol 63 (4) ◽  
pp. 35-38
Author(s):  
Z. P. Lati ◽  
V. F. Zhuravskaya ◽  
Ya. R. Kretova
Keyword(s):  
The Body ◽  
Age Group ◽  
Linear Measurements ◽  
Average Data ◽  
Lower Jaw ◽  
Age Features

We analyzed 105 profile teleroentgenograms of the head of patients at the age of milk, replaceable and permanent bite with progenic closure of the dentition. On the basis of cranio-, gnato, and profilometric studies, the average angular and linear measurements of teleroentgenograms were calculated for each age group of patients, with which the average data of the age norm were compared. It was found that in the period of milk bite, dentoalveolar forms of progeny prevail. In a removable and especially permanent bite, there is a violation of the proportionality of the ratio of the upper and lower jaws and a sharp discrepancy between the length of the body and the height of the branches of the lower jaw, that is, the signs of progeny increase.

scholarly journals Formation of functional-role communication clusters based on morphological features of the verbal context

2020 ◽  
Vol 175 ◽  
pp. 15007 ◽  
Author(s):  
Vladimir Meshkov ◽  
Natalia Kochkovaya ◽  
Irina Usova
Keyword(s):  
Functional Role ◽  
Morphological Analysis ◽  
Sufficient Accuracy ◽  
Morphological Features ◽  
Average Data ◽  
Definition Of

This work combines two approaches to the definition of the author’s style: statistical and linguistic (method of morphological analysis). The average data of the authors obtained on the basis of statisticalmorphological analysis are taken as an indications vector. The article shows that this technique allows to recognize the author’s style of the work with sufficient accuracy, on an average about 88 percent. It is shown that the closest measure of proximity to this technique is the Euclid distance. The prospects for the development of this approach areoutlined.

scholarly journals Learning Functions of Few Arbitrary Linear Parameters in High Dimensions

2012 ◽  
Vol 12 (2) ◽  
pp. 229-262 ◽  
Author(s):  
Massimo Fornasier ◽  
Karin Schnass ◽  
Jan Vybiral
Keyword(s):  
High Dimensions ◽  
Learning Functions
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