Input Output for Document Classifier

2021 ◽  
pp. 145-158
Keyword(s):  
Input Output ◽  
Maximum Weight ◽  
Overlapping Classes ◽  
Selection Of

The report generated displays a list of automatically generated keywords in each document. A document is allowed to have any number of keywords. As the keywords are getting generated at any pass of the loop, there is no restriction on the width of keywords. Another report is also generated to display the list of the document class. If a document finds its match with more than one class (overlapping classes), the selection of the final class for a document is done on the basis of the maximum weight of the keywords in each class.

Input Vector Identification and System Model Construction by Average Mutual Information

2000 ◽  
Author(s):  
Paul B. Deignan ◽  
Peter H. Meckl ◽  
Matthew A. Franchek ◽  
Salim A. Jaliwala ◽  
George G. Zhu
Keyword(s):  
Mutual Information ◽  
System Model ◽  
Input Output ◽  
Output Data ◽  
Average Mutual Information ◽  
Virtual Sensors ◽  
Input Signals ◽  
Model Independent ◽  
Intelligent Model ◽  
Selection Of

Abstract A methodology for the intelligent, model-independent selection of an appropriate set of input signals for the system identification of an unknown process is demonstrated. In modeling this process, it is shown that the terms of a simple nonlinear polynomial model may also be determined through the analysis of the average mutual information between inputs and the output. Average mutual information can be thought of as a nonlinear correlation coefficient and can be calculated from input/output data alone. The methodology described here is especially applicable to the development of virtual sensors.

scholarly journals Frequency distribution of journalistic attention for scientific studies and scientific sources: An input – output analysis

2020 ◽  
Author(s):  
Markus Lehmkuhl ◽  
Nikolai Promies
Keyword(s):  
Power Law ◽  
Media Coverage ◽  
Social Impact ◽  
News Coverage ◽  
Input Output ◽  
Output Analysis ◽  
Input Output Analysis ◽  
Study Results ◽  
Scientific Results ◽  
Selection Of

Based on the decision-theoretical conditions underlying the selection of events for news coverage in science journalism, this article uses a novel input-output analysis to investigate which of the more than eight million scientific study results published between August 2014 and July 2018 have been selected by global journalism to a relevant degree. We are interested in two different structures in the media coverage of scientific results. Firstly, the structure of sources that journalists use, i.e. scientific journals, and secondly, the congruence of the journalistic selection of single results. Previous research suggests that the selection of sources and results follows a certain heavy-tailed distribution, a power law. Mathematically, this distribution can be described with a function of the form C*x-α. We argue that the exponent of such power law distributions can potentially be an indicator to describe selectivity in journalism on a high aggregation level. In our input-output analysis, we look for such patterns in the coverage of all scientific results published in the database Scopus over four years. To get an estimate of the coverage of these results, we use data from the altmetrics provider Altmetric, more precisely their Mainstream-Media-Score (MSM-Score). Based on exploratory analyses, we define papers with a score of 50 or above as Social Impact Papers (SIPs). Over our study period, we identified 5,833 SIPs published in 1,236 journals. We consider a power law fit with an exponent of about -2 to be plausible for the distribution of the source selection but cannot confirm the power law hypothesis for the distribution of the selection of single results. In this case, an exponentially truncated power law seems to be the better fit.

Branch identification and motion domain analysis of Stephenson type six-bar linkages

2007 ◽  
Vol 221 (5) ◽  
pp. 589-604 ◽  
Author(s):  
C-C Tsai ◽  
L-C T Wang
Keyword(s):  
Lower Bounds ◽  
Polynomial Equation ◽  
Domain Analysis ◽  
Upper And Lower Bounds ◽  
Computer Implementation ◽  
Input Output ◽  
Complicated Case ◽  
Sturm Theorem ◽  
The Dead ◽  
Selection Of

A general approach for branch identification and motion domain analysis of Stephenson type six-bar linkages is presented. By applying the Sturm theorem to the input-output polynomial equation, the dead-centre positions of the linkage are first evaluated and classified into two groups in order to discriminate the upper and lower bounds of the motion domains. The circuits of the linkage are then identified by matching the dead centres to the branches, which are attributed in accordance with the case where the input is assigned to a joint within the four-bar chain. Finally, the branches and motion domains of the more complicated case where the input is given through one of the uncoupled joints within the five-bar chain, are identified by mapping the circuits onto the domain of the specified input joint. This approach does not rely on the coupler curve of the constituent four-link mechanism. This is also suitable for computer implementation and can be systematically applied to all types of Stephenson linkages, regardless of the types of joints and the selection of input-output pair.

scholarly journals Development of large-fruited bird cherry cultivars on the basis of wild species for northern and eastern regions of Russia

2021 ◽  
Vol 182 (1) ◽  
pp. 123-130
Author(s):  
V. S. Simagin ◽  
A. V. Lokteva
Keyword(s):  
Fruit Size ◽  
Intraspecific Variability ◽  
Fruit Weight ◽  
Fruit Traits ◽  
Maximum Weight ◽  
Local Conditions ◽  
Climate Conditions ◽  
High Productivity ◽  
Introduced Populations ◽  
Selection Of

Bird cherry occupies a special place among stone fruit plants. Its fruits, collected in nature, were widely used by local communities, native to regions with severe climate. Development of new bird cherry cultivars, well adapted to such environments, with stable productivity and larger fruit, is a necessity.Crossings were performed involving the most large-fruited genotypes of Prunus padusL.  and P. virginianaL.,  selected during the study of their intraspecific variability and interspecific hybrids. A number of hybrids were identified for their considerably higher fruit weight than that of both parents. Crossing the most large-fruited hybrid cultivars ‘Pamyati Salamatova’ and ‘Cherny blesk’ with large-fruited P. padussamples from Bondarev No. 11-2-64, No. 11-2-70, No. 11-2-76, and P. virginianasamples No. 1-14-1 and No. 10-5-2, produced many hybrids with a fruit weight gain of 20–50% over the parent with the largest fruit. It can be explained by the polygenic nature of fruit weight inheritance. The samples with the largest fruits had an average fruit weight of 1.4–1.5 g and maximum weight of 1.8–1.9 g. Many of them combined large fruit size with good quality and high productivity. Brief descriptions of fruit traits are presented for several hybrids. Suppositions are made about the prospects of further breeding for the large fruit trait on the basis of the same genetic sources or with the use of other sources of large fruit size in hybridization.Thus, preliminary selection of the best genotypes in nature and in introduced populations, followed by their crossing within their own species and with other species, makes it possible to produce genotypes with larger fruits than the average fruit size for a population and considerably larger than in their parents. It would help to develop bird cherry cultivars, well adapted to local conditions, for amateur and industrial horticulture under different climate conditions of Russia.

Link-Centre and Indexes of a Kinematic Chain

1992 ◽  
Author(s):  
V. P. Agrawal ◽  
J. N. Yadav ◽  
C. R. Pratap
Keyword(s):  
Kinematic Chain ◽  
Degree Of Freedom ◽  
Input Output ◽  
Function Generator ◽  
Kinematic Chains ◽  
Graph Theoretic ◽  
Optimum Selection ◽  
Theoretic Concept ◽  
Selection Of

Abstract A new graph theoretic concept of link-centre of a kinematic chain is introduced. The link-centre of a kinematic chain is defined as a subset of set of links of the kinematic chain using a hierarchy of criteria based on distance concept. A number of structural invariants are defined for a kinematic chain which may be used for identification and classification of kinematic chains and mechanisms. An algorithm is developed on the basis of the concept of distance and the link-centre for optimum selection of input, output and fixed links in a multi-degree-of-freedom function generator.

Analysis and Optimization of the Input/Output Fiber Configuration in a Laser Package Design

1995 ◽  
Vol 117 (4) ◽  
pp. 261-265 ◽  
Author(s):  
E. Suhir
Keyword(s):  
Small Angle ◽  
Allowable Stress ◽  
Input Output ◽  
Transverse Axis ◽  
Thermally Induced ◽  
Package Design ◽  
Induced Stresses ◽  
Straight Fiber ◽  
Final Selection ◽  
Selection Of

The mechanical and thermally induced stresses in the input/output (I/O) fiber in a laser package design are evaluated for different fiber configurations. It is shown that, if the fiber experiences bending deformations, the mechanical stresses can be minimized by applying a proper end off-set. It is found also that, if the optical device can be rotated around the transverse axis by a small angle, this rotation can be effectively used for minimizing the stresses. The smallest fiber span can be achieved, if necessary, by making the fiber straight. In this case the fiber should be short enough to avoid buckling under the action of the compressive stress. We suggest that such a configuration be employed when the appropriate rotation of the device is possible, fiber ends can be easily aligned, and the support structures are strong enough to withstand the elevated thermal force from the compressed fiber. Although the results of the performed analysis can provide guidance for optimizing the I/O fiber configuration, the final selection of such a configuration can be made only after the allowable stress and the achievable end alignment (in the case of straight fiber) are established experimentally.

scholarly journals Age-Related Interference between the Selection of Input-Output Modality Mappings and Postural Control—a Pilot Study

2017 ◽  
Vol 8 ◽  
Author(s):  
Christine Stelzel ◽  
Gesche Schauenburg ◽  
Michael A. Rapp ◽  
Stephan Heinzel ◽  
Urs Granacher
Keyword(s):  
Pilot Study ◽  
Postural Control ◽  
Input Output ◽  
Age Related ◽  
Selection Of

Specification of Training Sets and the Number of Hidden Neurons for Multilayer Perceptrons

2001 ◽  
Vol 13 (12) ◽  
pp. 2673-2680 ◽  
Author(s):  
L. S. Camargo ◽  
T. Yoneyama
Keyword(s):  
Chebyshev Polynomials ◽  
Main Idea ◽  
Multilayer Perceptrons ◽  
Input Output ◽  
Real Functions ◽  
Bounded Functions ◽  
Hidden Layer ◽  
Hidden Neurons ◽  
Selection Of ◽  
Training Sets

This work concerns the selection of input-output pairs for improved training of multilayer perceptrons, in the context of approximation of univariate real functions. A criterion for the choice of the number of neurons in the hidden layer is also provided. The main idea is based on the fact that Chebyshev polynomials can provide approximations to bounded functions up to a prescribed tolerance, and, in turn, a polynomial of a certain order can be fitted with a three-layer perceptron with a prescribed number of hidden neurons. The results are applied to a sensor identification example.

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