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Selection of a multiple methods approach

Text Categorization Optimization By A Hybrid Approach Using  Multiple Feature Selection And Feature Extraction Methods

Text Categorization Optimization By A Hybrid Approach Using Multiple Feature Selection And Feature Extraction Methods

... 3.5.1 KNN classifier: KNN is typical methods of example-based classifiers. They have been called lazy learners due to the fact that they do not learn before they start to classify a document. The KNN method ...

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Item Selection Methods Based on Multiple Objective Approaches for Classifying Respondents Into Multiple Levels

Item Selection Methods Based on Multiple Objective Approaches for Classifying Respondents Into Multiple Levels

... taking multiple cutting points into account would decrease the ATL and increase the ...item selection methods classify as accurate and efficient as the multiple objective ...the methods ...

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A multiple-filter-multiple-wrapper approach to gene selection and microarray data classification

A multiple-filter-multiple-wrapper approach to gene selection and microarray data classification

... a multiple-filter-multiple-wrapper (MFMW) approach for the hybrid ...using multiple filters to select genes and then combining them to provide a merged filtered subset of ...of multiple ...

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Antenna Selection and Space-Time Spreading Methods for Multiple-Antenna Systems

Antenna Selection and Space-Time Spreading Methods for Multiple-Antenna Systems

... In Chapter 2, we determine the fundamental information theoretic performance limits for a MIMO CDMA system. The performance of a CDMA system depends on the particular choice of spreading sequences. To remove this ...

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Combining Multiple Feature Selection Methods and Deep Learning for High-dimensional Data

Combining Multiple Feature Selection Methods and Deep Learning for High-dimensional Data

... feature selection techniques in order to improve ...subsets selection methods and pair-wise methods, as well as methods of combining their results were evaluated on para-linguistic ...

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Multi-segment multi-criteria approach for selection of trenchless construction methods

Multi-segment multi-criteria approach for selection of trenchless construction methods

... Various method evaluation models with high, low, and medium flexibilities were developed by researchers on the basis that an algorithm can handle multiple methods. For example, the DS’2 model (Decision ...

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Adaptive range selection by golden eagles in a changing landscape: A multiple modelling approach

Adaptive range selection by golden eagles in a changing landscape: A multiple modelling approach

... 3. Methods 3.1. Field procedures The local golden eagle population was censused annually from 1982 to 1992 inclusive, by watching transfers of nest materials and territorial and courtship displays in the two ...

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A fuzzy multiple attribute decision making approach for spread mooring system selection

A fuzzy multiple attribute decision making approach for spread mooring system selection

... having multiple and conflicting criteria in vagueness and ...called Multiple Criteria Deci- sion Making (MCDM) and mostly involve Decision Makers’ subjective judgments and ...a selection problem or a ...

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Multiple Classifiers -Integration and Selection

Multiple Classifiers -Integration and Selection

... classifier selection to medical ...classifier selection methods can be partitioned into two subsets static and ...while selection by dynamic approaches depends on each new is an example of ...

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Selection of Variables that Influence Drug Injection in Prison: 

Comparison of Methods with Multiple Imputed Data Sets

Selection of Variables that Influence Drug Injection in Prison: Comparison of Methods with Multiple Imputed Data Sets

... Then, missing data was generated at 20%, and 50%. Missing data were imputed 10 times. Applying standard RR approach, final estimates were derived. We then tried some alternative variable selection ...

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Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods

Decision making in machine tool selection: An integrated approach with SWARA and COPRAS-G methods

... machine selection problems are proposed by ...tool selection techniques, approaches and systems including analytic hierarchy process (AHP), analytic network process (ANP), technique for order preference by ...

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A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components

A Combined Finite Element-Multiple Criteria Optimization Approach for Materials Selection of Gas Turbine Components

... published methods for screening and determining optimal materials and processes has been summarized in a comprehensive review by Jahan et ...materials selection procedures and allow decision makers much ...

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Variable selection in multivariate multiple regression

Variable selection in multivariate multiple regression

... Proposed Approach 16 robust selection results. Penalized likelihood methods are computationally efficient and have been proved to be attractive both theoretically and ...variable selection ...

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Development and Testing of a Low Vision Product Selection Instrument (LV-PSI): A Mixed-Methods Approach

Development and Testing of a Low Vision Product Selection Instrument (LV-PSI): A Mixed-Methods Approach

... the selection consideration of the product working well in poor lighting in multiple contexts may be related to personal preference, as well as, context and flexibility of ...

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AN APPROACH TO PERSONNEL SELECTION BASED ON SWARA AND WASPAS METHODS

AN APPROACH TO PERSONNEL SELECTION BASED ON SWARA AND WASPAS METHODS

... and selection occupies a very important role in the management of human ...one approach to problem of personnel selection based on the use of ...

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A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection

A System for Generating Multiple Choice Questions: With a Novel Approach for Sentence Selection

... To generate a MCQ from a sentence, first we perform a set of pre-processing tasks like, converting complex and compound sentences into simple sentences and co-reference resolution. Then we use topic modeling as another ...

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APPLICATION OF TOPSIS: A MULTIPLE CRITERIA DECISION MAKING APPROACH IN SUPPLIER SELECTION

APPLICATION OF TOPSIS: A MULTIPLE CRITERIA DECISION MAKING APPROACH IN SUPPLIER SELECTION

... ABSTRACT Selection of suppliers is not based on cost ...supplier selection in a semi-conductor industry. TOPSIS, the MCDM approach, is very effective and gives better ...

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Multiple-Trait Genomic Selection Methods Increase Genetic Value Prediction Accuracy

Multiple-Trait Genomic Selection Methods Increase Genetic Value Prediction Accuracy

... MT-GS methods were compared with each other and with the corresponding ST-GS methods with sim- ulated data under a single genetic ...MT-GS methods can be very useful (Calus and Veerkamp 2011), which ...

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Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study

Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study

... GA Models selected by the GA showed the least sta- bility—many genes were selected with a frequency, f, of just 1. In the interests of conciseness, therefore, the results in Tables 2 and 3 comprise genes selected in the ...

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QA 7.2 Selection, Verification, and Validation of Methods Selection and Verification of Methods

QA 7.2 Selection, Verification, and Validation of Methods Selection and Verification of Methods

... 7.2.1 Selection and Verification of Methods ...Unit Methods Manual (UMM) and/or Training ...the methods of analysis; necessary method controls; use, maintenance and/or calibration of all ...

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