[PDF] Top 20 An Ensemble of Classifiers using Weighted Instance Selection
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An Ensemble of Classifiers using Weighted Instance Selection
... An ensemble of classifiers [3], [6] is set of classifiers by integrating multiple individual ...An Ensemble of classifiers offers promise increasing overall classification ...an ... See full document
7
Ensemble of Classifiers Based on Association Rule Mining
... associative classifiers. Ensemble methods have been called the most powerful development in data ...classification using association rule ensemble is ...to ensemble association rule ... See full document
5
Performance Analysis of Automobile data using Bagged Ensemble Classifiers
... proposed using bagging classifier in conjunction with radial basis function and support vector machine as the base learner and the performance comparison has been demonstrated using Auto Imports and Car ... See full document
9
Object detection using ensemble of linear classifiers with fuzzy adaptive boosting
... of ensemble of lin- ear classifiers, in which each weak linear classifier employs some feature to test an input against its threshold ...of ensemble of linear ...an ensemble of linear ... See full document
10
Classifying Unstructured Text Using Structured Training Instances and an Ensemble of Classifiers
... member classifiers are similar to each ...an ensemble to be successful, member classifiers should be, among other things, ...the classifiers should make different errors given different values ... See full document
16
Using Multitier Ensemble Classifiers for Organizing Multimedia Big Data - An Visualization
... LIME classifiers originating as a contribution to the general approach considered by many ...LIME classifiers can be used to achieve further improvement of the classification ...diverse ensemble meta ... See full document
5
Recognition of medication information from discharge summaries using ensembles of classifiers
... based classifiers. Using the test data in the chal- lenge, Doan and Xu [14] investigated using output from the MedEx rule-based system as features for SVM algo- rithms and showed that those features ... See full document
10
Shape-Based Single Object Classification Using Ensemble Method Classifiers
... The ensemble method is popular among machine learning research field because its algorithm has the capability of combining a set of individual classifiers (called base ...a weighted or unweighted ... See full document
6
An Ensemble of Classifiers using Dynamic Method on Ambiguous Data
... of Weighted Instance Selection technique for k-NN (K-Nearest Neighbor) ...construct Ensemble of Classifiers more accurate, simpler, and ...Designing Ensemble of k-NN ... See full document
8
Integrating Intrusion Detection Model Using Ensemble of Classifiers and Extreme Learning Machine
... feature selection with ELM ...attribute selection and will analyse proposed technique performance MI-ELM technique with algorithms like Modified Naïve Bayes, Support vector machine, LP Boosting and also ... See full document
11
Performance Analysis Of Ensemble Feature Selection Method Under SVM And BMNB Classifiers For Sentiment Analysis
... which finds out the presence and absence of the text feature in the document. Narayanan, et al. [9] developed a fast sentiment classifier model using Enhanced Naïve Bayes algorithm. Vivek et.al uses laplacian ... See full document
5
Human Activities – Their Classification, Recognition and Ensemble of Classifiers
... Although many classification algorithms have been proposed to classify human activities based on features extracted, in this project an attempt has been made to classify these activities empirically by recording the HRV ... See full document
6
Comprehensive benchmarking and ensemble approaches for metagenomic classifiers
... Grouping datasets into simulated reads and biological samples revealed that precision is notably lower for bio- logical samples that are titrated and then sequenced (Additional file 3: Figure S1). We initially ... See full document
19
Ensemble based majority voting for point to point measurements of Gyrodactylus species identification
... existing ensemble models, majority voting has been ...hypothetical ensemble consisting of three different classifiers, which we call h1, h2 and h3, and a sample x to be classified, classification is ... See full document
7
Exploiting historical registers: Automatic methods for coding c19th and c20th cause of death descriptions to standard classifications
... final ensemble variation, we generated proxy confidence values for the Bayesian classifiers, and then selected the classifier with the highest ...Bayesian classifiers over the training ... See full document
10
Multi Instance Heterogeneous Classifiers with Extended Space forest
... initial ensemble size is nine with three classifier instances of each base classifier ...of ensemble would change but the overall ensemble size remains the ...changed ensemble configuration ... See full document
7
Melanoma Detection in Dermoscopic Images using Color Features
... of ensemble classifiers with dynamic selection techniques are used for classification of the extracted features, yielding an average accuracy of ... See full document
9
Word Translation Disambiguation Using Bilingual Bootstrapping
... an ensemble of the Naïve Bayesian Classifiers (NBC), because an ensemble of NBCs generally performs better than a single NBC (Pedersen ...an ensemble, it creates different NBCs using as ... See full document
9
FCM BPSO: ENERGY EFFICIENT TASK BASED LOAD BALANCING IN CLOUD COMPUTING
... bagging ensemble, is statistically as accurate as the simpler model, ...bagging ensemble over decision tree ...bagging ensemble classification algorithm proved better than the other ...proved, ... See full document
11
Design of Ensemble Classifier Selection Framework Based on Ant Colony Optimization for Sentiment Analysis and Opinion Mining
... ants. Ensemble classifier selection is a combinatorial problem and ACO provides a way to solve this problem ...of classifiers from a set of available classifiers with maximum diversity and ... See full document
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