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Combining and selecting characteristics of information use

Ian Ruthven, Mounia Lalmas, Keith van Rijsbergen
2002 Journal of the American Society for Information Science and Technology  
We describe a series of weighting functions, each of which is based on how information is used within documents and collections, and use these weighting functions in two types of experiments: one based  ...  The use of relevance information to guide the combination process is shown to reduce the variability inherent in combination of evidence.  ...  The members of the Glasgow University Information Retrieval Group provided many helpful comments on this work.  ... 
doi:10.1002/asi.10046 fatcat:hwviu2kktvcxhozdckkqxi55my

The effectiveness of visual aids in teaching foreign languages

M Usmonov
2022 Zamonaviy lingvistik tadqiqotlar: xorijiy tajribalar, istiqbolli izlanishlar va tillarni o'qitishning innovatsion usullari  
The article analyzes the effectiveness of visual aids in the process of teaching foreign languages and suggests ways to use them in the classroom.  ...  These systems are a set of software and hardware tools and equipment that allows you to combine various types of information (text, hand-drawn graphics, slides, music, moving images, sound, video) and  ...  Visual aids will make it possible: improving the management mechanisms of the education system based on the use of automated data banks of scientific and pedagogical information, information and methodological  ... 
doi:10.47689/linguistic-research-vol-iss1-pp233-235 fatcat:cc4fzp3wabflbcwn3qgiedczr4

Optimizing the execution of a parallel meteorology simulation code

Sonia Jerez, Juan-Pedro Montavez, Domingo Gimenez
2009 2009 IEEE International Symposium on Parallel & Distributed Processing  
the information generated by OPTIM for the problem: Select at running time the values of N t , N x and N y tacking into consideration the size and characteristics of the problem to be solved with the  ...  current domain select trial domain with the size closest to the current one use the value of t obtained by OPTIM for the different combinations of N t , N x and N y INSTAL: selects the values which  ... 
doi:10.1109/ipdps.2009.5161154 dblp:conf/ipps/JerezMG09 fatcat:yrvyfgsqpbgeneah5fue5hgzxa

Page 90 of Chemical Engineering Vol. 67, Issue 26 [page]

1960 Chemical Engineering  
The range of combinations of characteristics used to designate the scope of a search.  ...  Recently-developed information- retrieval methods differ by using mechanical and elec- tronic devices for searching operations that are de- fined in terms of combinations of subject-content characteristics  ... 

NIR Hyperspectral Imaging Technology Combined with Multivariate Methods to Study the Residues of Different Concentrations of Omethoate on Wheat Grain Surface

Liu Zhang, Zhenhong Rao, Haiyan Ji
2019 Sensors  
In this study, a hyperspectral imaging system of 866.4–1701.0 nm was selected and combined with multivariate methods to identify wheat kernels with different concentrations of omethoate on the surface.  ...  Finally, in order to verify the reliability of the selected model, the hyperspectral image was substituted into the MSC–NCA–SVM model and the object-wise method was used to visualize the image classification  ...  Characteristic Wavelength Extraction Since the full-band spectral information and spatial information of the original hyperspectral data are redundant and collinear, this interference information will  ... 
doi:10.3390/s19143147 pmid:31319577 pmcid:PMC6679316 fatcat:ov4ki7gmtfc7fneydct3pftnya

Building a Relationship between Robot Characteristics and Teleoperation User Interfaces

Michael Mortimer, Ben Horan, Mehdi Seyedmahmoudian
2017 Sensors  
In the results section, three test cases are presented to demonstrate how the selection of different robot characteristics builds a number of robot characteristic combinations, and how the relationship  ...  Logical relationships between UI components and robot characteristics are defined by a set of relationship rules created using relevant and available information including developer expertise and ROS metadata  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17030587 pmid:28335431 pmcid:PMC5375873 fatcat:gxiv6lw2svhfjcu5g77b6hahza

Research on Parameter Optimization in Collaborative Filtering Algorithm

Zijiang Zhu
2018 Communications and Network  
of parameter combination optimization in hybrid collaborative filtering algorithm.  ...  Meanwhile, this paper will also optimize the process based on the parameter selection of genetic algorithm and demonstrate its pseudocode reference so as to provide new ideas and methods for the study  ...  Acknowledgements This work was supported in part by a grant from the characteristics innovation Conflicts of Interest The authors declare no conflicts of interest regarding the publication of this paper  ... 
doi:10.4236/cn.2018.103009 fatcat:za4ikbod4nburdgqhaamwcbyae

The Rational Combination of Symbols in Graphic Design of Information

XIN WANG, CONGMEI ZHAO
2017 DEStech Transactions on Social Science Education and Human Science  
This paper analyzes and discusses the formation and rational selection of symbols in information graphic design from the aspects of rationality of symbol function and form, rational selection and use of  ...  It is hoped that through the research of symbolic characteristics in information graphic design, the law of symbol formation and symbol propagation can be obtained, which can promote the intuitive and  ...  The most common systematic structure is the design of traffic signs. SELECTION AND USE OF SYMBOLS Symbols are the combination of function and meaning.  ... 
doi:10.12783/dtssehs/msie2017/15418 fatcat:qh3br3gs3beoxpo42bd73uguee

Convolution Neural Network with Selective Multi-Stage Feature Fusion: Case Study on Vehicle Rear Detection

Won-Jae Lee, Dong Kim, Tae-Koo Kang, Myo-Taeg Lim
2018 Applied Sciences  
The proposed features contain characteristic vehicle image information and are more robust than traditional features against noise.  ...  A 10-layer CNN model was designed and visualization techniques were used to selectively extract features from the activation feature map, called selective multi-stage features.  ...  Conflicts of Interest: The authors declare that they have no conflict of interest with respect to this study.  ... 
doi:10.3390/app8122468 fatcat:qtqy4fkewjaarcjum5riysh32u

A Proposal of Received Response Code Sequence in DS/UWB [chapter]

Masatoshi Yokota, ShinIchi Tachikaw
2011 Ultra Wideband Communications: Novel Trends - System, Architecture and Implementation  
using the information of the 3 higher paths.  ...  Ti [ ] Comparisons of characteristics for the number of selective RAKE fingers Under CM4 and CM1 environments, receiving performance for the number of RAKE fingers when RR sequence is combined with  ...  This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided  ... 
doi:10.5772/16636 fatcat:lfofzkmvmvbtdnefgcrxsghz34

Evaluation of the added value of viral genomic information for predicting severity of influenza infection

Nina Van Goethem, Annie Robert, Nathalie Bossuyt, Laura A. E. Van Poelvoorde, Sophie Quoilin, Sigrid C. J. De Keersmaecker, Brecht Devleesschauwer, Isabelle Thomas, Kevin Vanneste, Nancy H. C. Roosens, Herman Van Oyen
2021 BMC Infectious Diseases  
Predictor variables for severity were selected using a penalized elastic net logistic regression model from a combined host and genomic dataset, including patient information and nucleotide mutations identified  ...  The goodness-of-fit of the model combining host and genomic data was compared using a likelihood-ratio test with the model including host data only.  ...  Further, we would like to thank the sentinel hospitals for the data collection and for completing the clinical metadata of included samples.  ... 
doi:10.1186/s12879-021-06510-z pmid:34376182 pmcid:PMC8353062 fatcat:rpiwkcg63fhdbd6qw6cistpjeu

HPC Workload Characterization Using Feature Selection and Clustering

Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom
2020 Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics  
To identify the features that are most relevant to the I/O performance, we evaluate a number of different feature selection methods, e.g., Mutual information regression and F regression, and develop a  ...  These feature selection methods allow us to sift through a large set of the real-world workloads collected from NERSC's Cori supercomputer system, and identify the most important features.  ...  Figure 6 depicts the result of DBI, Silhouette scores and Combined Score, from the KMeans clustering result each using Mutual information, F-regression, Decision tree, Extra tree and Min-max mutual information  ... 
doi:10.1145/3391812.3396270 dblp:conf/hpdc/BangKWSBKE20 fatcat:n3hy72bjefenjfhrpuqb5e6ugm

A Semantic Web Services Classification approach based on IG-C4.5

Chaokai He, Meng Wu
2016 International Journal of Hybrid Information Technology  
Services Classification would be useful to enact powerful capabilities such as automatic selection, invocation, composition, location or discovery of web services.  ...  by combining Semantic Web technologies and Web service standards.  ...  Acknowledgement This Project is supported by the Innovation project of cultivating graduate of Jiangsu Province(Project Number:CXZZ11_0399).  ... 
doi:10.14257/ijhit.2016.9.10.06 fatcat:vn3ceebbffh57d6ef6uwtslcru

A Text Classification Algorithm Based on PCA

Jian-lin LI
2017 DEStech Transactions on Computer Science and Engineering  
Study the related WEB text feature extraction algorithm, through the mutual information (MI), document frequency (DF), information gain (IG) andχ2 statistics (CHI) algorithm research, using of their respective  ...  dimension of feature space fast extract more representative of the feature, filter out some representative weak feature items; Finally, using the SVM classifier to classify the text.  ...  Acknowledgement In this paper, the research was sponsored by the year 2016 "Blue Project" of Jiangsu Province young academic leaders (ProjectNo.Jiangsu Education 2016-15).  ... 
doi:10.12783/dtcse/cst2017/12555 fatcat:6dizeav42fddlkekwplhb4s6i4

A modified feature fusion method for distinguishing seed strains using hyperspectral data

Jingjing Liu, Simeng Liu, Tie Shi, Xiaonan Wang, Yizhou Chen, Fulong Liu, Hong Men
2020 International Journal of Food Engineering  
Due to the slight physical and chemical difference between different types of wheat and high correlation between bands of images, it is easy to fall into the local optimum when selecting the characteristic  ...  band of using the spectral average only.  ...  Since six wheat strains were used and 100 samples were selected for each species, so 600 sets of spectral mean characteristic data and 600 sets of spectral standard deviation characteristic data were obtained  ... 
doi:10.1515/ijfe-2019-0362 fatcat:q7upbgsa4vai5mdhdfse3dxude
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