[PDF] Top 20 La homosexualidad; pecado en los albores del siglo XXI
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A Genetic Algorithm-Based Feature Selection
... dimensional feature set can negatively affect the performance of pattern or image recognition ...statistics, feature selection, which is also called variable selection, attribute ... See full document
18
An investigation of genetic algorithm based feature selection techniques applied to keystroke dynamics biometrics
... The use of social networks grew enormously, serving to connect and share informa- tion among different groups of people. However, users can be vulnerable to risky sit- uations, paedophilia is one of them. One of the ways ... See full document
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An Intelligent Gear Fault Diagnosis Model Based on EMD and Evolutionary Algorithms
... so genetic algorithm based feature selection technique is deployed, which minimizes the features based on their ...ABC algorithm and MSVM are compared to decide the best ... See full document
9
Feature Selection Based On Hybrid Genetic Algorithm With Support Vector Machine (GA-SVM)
... decision-making. Feature selection (FS) is one of the most fundamental data preprocessing in data mining, pattern recognition and feature ...optimal feature subset that contains the most ... See full document
30
Building an Effective Intrusion Detection System using combined Signature and Anomaly Detection Techniques
... signature based detection model and an anomaly based detection ...anomaly based detection model known normal traffic information is ...filter based feature selection using ... See full document
138
Anomaly Detection in Network using Genetic Algorithm and Support Vector Machine
... detection algorithm, is a hybrid ...two algorithm genetic and ...the algorithm is very sensitive of noise, mixed pixels and ...of genetic algorithm (GA) with support vector ... See full document
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Text Document Classification using Ant Colony Optimization and Genetic Algorithm
... To evaluate the effectiveness of the text document classificationalgorithms, several text collection available. These collectionsare useful for research in Information Retrieval, Natural Languageprocessing and other ... See full document
33
An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model
... hybrid feature selection used to achieve the best subset of features in order to improve the ...performance. Genetic algorithm (GA) is one of the evolutionary algorithms in- spired from nature ... See full document
35
DEVELOPMENT AND APPLICATION OF A STAGE GATE PROCESS TO REDUCE THE UNERLYING RISKS OF IT SERVICE PROJECTS
... the feature space has dramatically increased where new features emerged to be used for identifying NEs such as font type, HTML tags, hyperlinks and block ...of feature space requires accommodating a ... See full document
10
Hyperspectral Image Classification Based on Hierarchical SVM Algorithm for Improving Overall Accuracy
... hierarchical algorithm based on SVM for processing data without pro- cessing the additional information is presented in two ...proposed algorithm, clusters including several same classes are ... See full document
12
An Efficient Feature Selection Technique using Genetic Algorithm for Activity Recognition of Elder People
... Levenberg-Marquardt algorithm is employed to categorize the activity recognition of elder people of Dust district canals of Bangkok, ...various feature designs made from a certain dataset that are able to ... See full document
7
Feature Selection Method using Genetic Algorithm for Medical Dataset
... compelling feature selection method is important in this case to improve the correctly classify different diseases and consequently lead to help medical ...wrapper-based feature ... See full document
6
Multilocal feature selection using genetic algorithm for face identification
... designed based on hybrid structural classifier ...a feature domain to extract features from facial ...learning algorithm in comparison with the multi-layer feed forward neural network [16], ... See full document
17
A Comparative Study on using Principle Component Analysis with different Text Classifiers
... the feature vector problem for text ...step based on rough set which is carried out on the terms which are ranked according to their ...two feature selection techniques - chi-square, ... See full document
178
An Expert System for Credit Risk Stratification using Data Mining
... Abstract: In the current era, Credit business is one of the functions related to the financial institution that has been increasing rapidly. Previously credit risk assessment is done by the human judgements but now days, ... See full document
5
Genetic Algorithm: An Enhanced Feature Selection Tool for Face Detection
... basic feature types and sets, detectors with lower error rates are ...of feature types automatically leads to much higher number of feature sets and expand the search space thus increases the ... See full document
76
Credit card fraud detection-a hybrid approach using simple genetic and apriori algorithms
... Preserving privacy in the developing E-commerce technology is one of the important factors in this era. This paper concerns on providing security. It mainly uses data mining for providing privacy. It uses mainly five ... See full document
10
A New Feature Selection Techniques Using Genetics Search and Random Search Approaches for Breast Cancer
... classification algorithm techniques with feature extraction algorithm used to improve the predicated accuracy of the ...correlation based feature selection as a feature ... See full document
8
Survey on Feature Subset Selection Algorithm in Brain Interaction Patterns
... In this paper [3] Classification decisions are supported by class-specific interaction patterns within the time series of a data object. It would be also interesting to design model-based classifiers for FMRI data ... See full document
13
Optimized feature selection for tropical wood species recognition using genetic algorithm
... Although increasing number of features will give more information for the data (Solberg & Jain, 1997, Clausi & Huang Deng, 2005 and Bing-Yu Sun, et al., 2010), there are also downsides of it. Some of the features ... See full document
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