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Combining multiple evidence from different properties of weighting schemes
1995
Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '95
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Acknowledgments I would like to thank Gerard Salton for reading earlier drafts of this paper. His comments have greatly improved the quality of this paper. ...
Combining Multiple Evidence We have explained that different classes of weighting schemes may retrieve different types of documents different sets of documents. ...
Experimen-
tal results
show that
significant
improvements
can be
obtained
by combining
the retrieval
results
from differ-
ent properties
of weighting
schemes.
1
Introduction
A variety of ...
doi:10.1145/215206.215358
dblp:conf/sigir/Lee95
fatcat:fbqrweum5fetld6w6wl5w4uk44
Combining Multiple Evidence from Different Relevance Feedback Methods
1997
Database Systems for Advanced Applications '97
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Experimental results show that significant improvements can be obtained by the combination of multiple query vectors expanded with different relevance feedback methods. ...
We then describe the effect of combining the multiple query vectors on retrieval effectiveness. ...
Acknowledgments This work was supported in part by the NSF Center for Intelligent Information Retrieval at the University of Massachusetts at Amherst. ...
doi:10.1142/9789812819536_0044
fatcat:hfkar5l2czf23b3bjzr4ojen6m
Study on Optimization of Landslide Treatment Schemes Based on Entropy Weight Grey Incidence and D-S Evidence Theory
2017
Open Civil Engineering Journal
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Aiming at the characteristics and requirements in the process of landslide treatment, an optimization algorithm of landslide treatment schemes selection is proposed by combining entropy weight grey incidence ...
Finally, the mass functions of different targets in different indices can be obtained, carrying out the fusion of different mass functions on the basis of D-S theory of evidence and sorting the targets ...
The Synthesis of Mass Function The above theory foundation, D-S Evidence theory is applied to synthetic the Mass function of different schemes, therefore, the multiple function synthesis can be expressed ...
doi:10.2174/1874149501711010022
fatcat:mszvryjt5zafdk4vipe3lzt6bq
A survey of trust management systems for online social communities – Trust modeling, trust inference and attacks
2016
Knowledge-Based Systems
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Trust can help participants in online social communities to make decisions; however, it is a challenge for systems to map trust into computational models because of its subjective property. ...
We provide a survey of existing trust management systems for online social communities. We also list four types of attacks, and analyze existing systems' vulnerabilities. ...
It uses weighted mean to combine trust from multiple trust paths. ...
doi:10.1016/j.knosys.2016.05.042
fatcat:34ilydu4sjgjfoziqwx77ruoxu
Analyses of multiple evidence combination
1997
SIGIR Forum
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We describe a rationale for multiple evidence combination, and propose a combining method whose properties coincide wit h the rationale. ...
However, little effort has been made to understand the reason why combining multiple sources of evidence improves retrieval effectiveness. ...
Additional support was provided by the NSF Center for Intelligent Information Retrieval at the University of Massachusetts at Amherst. ...
doi:10.1145/278459.258587
fatcat:gbtvpmp7yvaejp56back2girr4
Choosing the Smoothing Parameters within a Multiple-Pass Barnes Objective Analysis Scheme: A Cautionary Note
2007
Journal of Atmospheric and Oceanic Technology
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The authors demonstrate that owing to the discreteness of the analytic observations, the actual analyses resulting from these various combinations of smoothing parameters are different. ...
Various combinations of smoothing parameters within a two-pass Barnes objective analysis scheme are applied to analytic observations obtained by regular and irregular sampling of a one-dimensional sinusoidal ...
Partial funding for the second author was provided by the Army High Performance Computing Research Center (AHPCRC) under the auspices of the Department of the Army, Army Research Laboratory (ARL), under ...
doi:10.1175/jtech1995.1
fatcat:3v72zwecgzdavdsx6volscmgzi
Reliability-Based Feature Weighting for Automated Essay Scoring
2014
Applied Psychological Measurement
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The article shows, in the context of a large-scale writing assessment, that these alternative weighting schemes are significantly different from human-prediction weights and give rise to comparable or ...
However, it is evident that machine evaluation of essays is fundamentally different from human evaluation and therefore is not likely to measure the same set of writing skills. ...
In evaluating the importance of differences in correlation coefficients for Research Questions 2 and 3, one should remember that the scores obtained from different weighting schemes are not independent ...
doi:10.1177/0146621614561630
pmid:29881010
pmcid:PMC5978541
fatcat:skadbb476jabxeadjv7ko7rsyu
Safety Protection Technology of Power Monitoring System Based on Feature Extraction Algorithm
2021
Distributed Generation & Alternative Energy Journal
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The algorithm can calculate the transfer degree of security incidents based on evidence theory. ...
The network security protection technology of power monitoring systems is of great significance. ...
D represents the property value of a standard security event that changes with time in multiple sampling periods. ...
doi:10.13052/dgaej2156-3306.37211
fatcat:b4tnaioaxzhyzhpqxnkesrshye
Computational Complexity and Peak-to-Average Power Ratio Reduction of OFDM Signals by PTS with Sub optimum Grouping Phase Weighting Method
2013
International Journal of Computer Applications
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However optimum PTS (OPTS) needs exhaustive search over all combinations of allowed phase weighting factors. It results in high computational complexity. ...
In this paper we propose a novel technique known as Sub-optimum Grouping Phase Weighting (S-GPW) Method which not only reduces the computational complexity but also have an advantage of increment in PAPR ...
In the process of phase weighting combination, large number of complex multiplications are needed and hence the computational complexity is very large. ...
doi:10.5120/13783-1728
fatcat:ruxo2blotncazduiodeknfc654
A Research on the Combination Strategies of Multiple Features for Hyperspectral Remote Sensing Image Classification
2018
Journal of Sensors
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We extracted different groups of features from the initial hyperspectral images and tried different combination scenarios. ...
The study further compared different combination frameworks of multiple feature groups, including direct combination, manifold learning, and multiple kernel method. ...
Acknowledgments The study was funded by the National Natural Science Foundation of China "Study on environmental impact mechanism of surface deformation monitoring in open pit mine and inversion methods ...
doi:10.1155/2018/7341973
fatcat:3ijukwy7bzei5bcdzjhqciyg2e
Analysis and Extension of the Evidential Reasoning Algorithm for Multiple Attribute Decision Analysis with Uncertainty
[article]
2019
arXiv
pre-print
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one follows the importance discounting and combination scheme. ...
Based on these new findings, an extended ER algorithm is proposed to take into account both the reliability and importance of different attributes, which provides a more general attribute aggregation scheme ...
Importance Discounting & Combination Scheme Different from the concept of reliability, the definition of importance for a source of evidence in the context of DST is given as follows [34] . ...
arXiv:1903.11857v1
fatcat:aioc4nhfhnca7exz4eypyiwzju
ON STRUCTURAL AND FUNCTIONAL RELATIONS BETWEEN ANTIBODIES AND PROTEINS OF THE GAMMA-SYSTEM
1962
Proceedings of the National Academy of Sciences of the United States of America
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The evidence suggests that H chains constitute at most 70 per cent by weight of the normal 7S y-globulin molecule. ...
Before discussing the scheme in detail, it is necessary to review briefly the relevant experimental evidence. ...
doi:10.1073/pnas.48.6.1035
pmid:13889152
pmcid:PMC220901
fatcat:joqhf6rasbauvftbpgqeazepfa
Combining sources of evidence with reliability and importance for decision making
2013
Central European Journal of Operations Research
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Furthermore, a general scheme is proposed for combination of sources of evidence with both reliability and importance. ...
The combination of sources of evidence with reliability has been widely studied within the framework of Dempster-Shafer theory (DST), which has been employed as a major method for integrating multiple ...
A general scheme for combination of sources of evidence In this section, we would like to establish a general scheme for combination of sources of evidence. ...
doi:10.1007/s10100-013-0334-3
fatcat:jncj3ygmmfgx5gzbrn5s4chdae
Locally-adaptive similarity metric for deformable medical image registration
2012
2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)
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Different parts of a medical image, however, may contain significantly different appearance properties such that a metric may only be applicable in certain image regions but less so in other regions. ...
More and more researchers are beginning to use multiple dissimilarity metrics or image features for medical image registration. ...
Evidently, while both the equal and weighted schemes achieved similar DSC scores, the former scheme gave much higher TRE scores than those achieved by the weighted scheme. ...
doi:10.1109/isbi.2012.6235651
pmid:25904993
pmcid:PMC4402651
fatcat:zvrmyhtdtzeobd4n5z3337yz5y
FUSING SIMILARITY RANKINGS IN LIGAND-BASED VIRTUAL SCREENING
2013
Computational and Structural Biotechnology Journal
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methods for combining multiple sources of evidence. ...
have looked for ways of combining the results obtained from use of multiple similarity searches. ...
methods for combining multiple sources of evidence. ...
doi:10.5936/csbj.201302002
pmid:24688695
pmcid:PMC3962232
fatcat:2asntc2bxndo3fuzsoef4sa2xy
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