[PDF] Top 20 Abordagens transversais no ensino-aprendizagem da língua na educação pré-escolar e no 1.º ciclo do ensino básico
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Performance Evaluation of Gene based Ontology Using Attribute Selection Methods
... classification methods like Naïve Bayes, 1-Nearest Neighbour, it gives less ...new attribute selection methods are proposed which uses the Support Vector Machine (SVM) algorithm to organize ... See full document
70
Performance evaluation of alternatives using multiple attribute decision making methods
... MADM methods proposed in this paper are validated using two case studies of the selection problems of the manufacturing ...making methods presented in this paper is that they offer general ... See full document
75
Performance Comparison based on Attribute Selection Techniques of WEKA and ROSE Tools
... selection methods. In [11] the authors have developed a new rough set-based unsupervised feature selection using relative dependency ...RST methods with their pros and cons. ... See full document
23
2004-IBERAMIA
... classification methods are used to produce summaries for documents based on a set of attributes describing those ...(GA)-based attribute selection in improving the performance of ... See full document
74
Network Traffic Feature Selection Based on the Evaluation of Every Attribute
... learning based traffic classification, feature subset selection is often used to realize dimension reduction and redundant information ...subset selection method is proposed to improve the ... See full document
14
Feature selection for traditional Malay musical instrument sound classification using rough set
... the performance of the proposed technique, the existing rough-based feature selection techniques which are, Genetic Algorithm, Johnson, dynamic reduct and Dynamic Particle Swarm Optimization-Rough ... See full document
85
Performance of variable selection methods using stability based selection
... able selection methods tend to perform poorly when the numbers of samples within groups are ...Stability- based selection is a new general approach that can be used with several different ... See full document
6
Towards Outlier Detection For Scattered Data and Mixed Attribute Data
... our evaluation section. In SVM, the outlier detection performance is determined by how well the mapping function projects all normal data into a small ...the selection of kernel function and param- ... See full document
6
A task-based approach for Gene Ontology evaluation
... utility based on a real-world application, and helps us understand the strengths and weaknesses of the GO and its ...statistical methods to define a list of differentially expressed ...analysis, ... See full document
5
The status of causality in biological databases for logical modeling: data resources and data retrieval possibilities
... Systems biology aspires to understand cellular behavior emerging from molecular mechanisms, and causality constitutes a key concept to clarify how biological entities interact and affect each other, and how they are ... See full document
15
Learner’s Performance Evaluation based on Knowledge Extracting and Ontology
... answer using tokenizers which take the answer as input characters and segment it into ...the ontology has a position priority to appear before or after other semantic keywords in the ...keywords ... See full document
6
TRAINING AND DEVELOPMENT OFARTIFICIAL NEURAL NETWORK MODELS: SINGLE LAYER FEEDFORWARD AND MULTI LAYER FEEDFORWARD NEURAL NETWORK
... Content based image retrieval (CBIR) depends on several factors, such as, feature extraction method (the usage of appropriate features in CBIR), similarity measurement method and mathematical transform (chosen to ... See full document
8
Fast and simple semantic class assignment for biomedical text
... ontologies based on a pipeline of exact matches, normalized strings, headword matching, and stemming ...implementation. Evaluation with the structured test suite reveals a number of characteristics of the ... See full document
97
A Survey on Different Feature Selection Methods for Microarray Data Analysis
... ranking methods); subsequently the highest scoring gene is paired with the gene that gives the highest gene pair ...ranked gene paired with the gene ,it maximizes the pair score, ... See full document
179
Ontology based Approach for ETL Mapping Maintenance
... environment using Java and Jena API. For editing the ontology protégé ontology editor has been ...source ontology and target ontology are ...target ontology is computed. ... See full document
33
Using Cross Lingual Explicit Semantic Analysis for Improving Ontology Translation
... inferences using the explicit conceptualisa- tions contained in ...for ontology localisation and translation are ...that ontology labels tend to be quite short in length and linguistically different ... See full document
69
Soil Data Classification Using Attribute Group Rank With Filter Based Instance Selection Model
... proposed attribute group rank with a filter based instance selection model (AGRFIS) for effective classification of soil dataset of the Pollachi ...Weight Based Majority Voting (RF-MWMV) [22], ... See full document
13
Node importance evaluation method based on multi attribute decision making model in wireless sensor networks
... the performance indicator of the network application require- ments is the direct target of the network ...network performance is es- sentially information transfer processes along nodes or ...the ... See full document
33
Index Terms - management, human resources, planning, diversity,
... are based on performance, travel allowance, retail vouchers and coupons that may be exchanged for activities or trips (Allen, ...of performance or skills of the workforce or reinforce culture or ... See full document
8
Attribute Based Face Classification Using Support Vector Machine
... estimation performance on face verification task of given faces dataset and determines if the result show the same ...evaluated based on eight different measures shown in the subsequent ...of ... See full document
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