The feature-based classification
Gaussian Soft Decision Trees for Interpretable Feature-Based Classification
... Gaussian Soft Decision Trees for Interpretable Feature-Based.. Classification..[r] ...
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Development of Feature Based Classification of Fruit using Deep Learning
... different feature representations for a wide range of ...pattern. Based on experiment, the convolutions for each layer are ...naturally. Feature detection layer involves convolution and ...i.e. ...
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A Feature-Based Tool-Selection Classification for Agile Software Development
... selection; feature-based ...methodologies based on incremental and iterative development in which specifications and alternatives, develop by means of cooperation between self-organizing, ...
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Feature selection for modular GA-based classification
... a classification problem into several class modules in the output ...new feature selection technique - Relative Importance Factor (RIF) based on the optimal transformation weights from Fisher’s ...
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Overfitting and Diversity in Classification Ensembles based on Feature Selection
... to feature selection, Kohavi & John (1998) appear to endorse this conjecture – they say that overfitting is not a problem when training data is readily ...real feature selection problems an adequate amount ...
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A New Malware Classification Approach based on Statistical Feature
... Statistical Feature, Ensemble learning, Malware ...learning based malware classification techniques are able to discriminate different malware families and improve existing anti-malware ...
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Lexicon based feature extraction for emotion text classification.
... Further the proposed features also perform significantly better over n-gram features and their combination with features based on part-of-speech information and sentiment knowledge. Closer examination of DSEL ...
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Feature Weighting for Co occurrence based Classification of Words
... each feature and weight it ...of feature weighting methods existing in machine learning, these methods are poorly explored in application to lexical ...
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Feature Stacking for Sentence Classification in Evidence Based Medicine
... is based on the private sub- set of the test data; the breakdown between public and private serves to penalize entries that overfit the test data in the public ...
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Deep LSTM based Feature Mapping for Query Classification
... as feature mapping for convolution ...product based CNN s (Lei et ...linear feature vector interactions between adjacent ...as feature mapping, we propose to apply DLSTM to address these two ...
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Feature Selection for Cancer Classification: An SVM based Approach
... several classification techniques, among which are: Support Vector Machine (SVM), K-Nearest Neighbor (k-NN) and Naive Bayes (NB) ...Classifier. Feature Selection for the classification of cancer data ...
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MapReduce Based Feature Selection and Classification of Microarray Dataset
... 5.2 Classification After selection of relevant features, the data set is reduced and divided into a training and testing set for the purpose of classification. The third sample in each dataset is taken as a ...
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Information Theory based Feature Selection for Customer Classification
... method based on entropy and mutual information is ...in feature selection has been largely analyzed, see for example [2], [7] and [10], though practical appli- cations involve mainly pattern and text ...
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Brain Tumor Classification Based On Statical Feature Extraction
... 3. Proposed Approach Basically, two main phases are employed in this project which is theoretical phase and practical phase. Theoretical phase involves the process of reading and understanding, reviewing of theories, ...
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A Feature Selection-based Ensemble Method for Arrhythmia Classification
... a feature set may eliminate important information contained in other subsets, and thus classification performance is ...novel feature selection schema. Firstly, a number of feature sub- sets ...
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Distinct feature extraction for video-based gait phase classification
... high-accuracy classification of gait phases and muscle actions, using readings from low-cost motion capture ...time-series classification and gait phase reconstruction ...state-of-art classification ...
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Diversity versus Quality in Classification Ensembles based on Feature Selection
... classifiers based on components with different feature subsets raises some questions about the issue of feature subset selection with which we opened this ...better classification performance ...
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A Method of Web Page Classification Based on Feature Dimension Reduction
... Text classification technology to quickly retrieve information pages, information filtering and data mining provides an important ...page classification is more difficult to deal with than text ...page ...
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Evaluation of rule-based learning and feature selection approaches for classification
... Abstract Feature selection is typically employed before or in conjunction with classification algorithms to reduce the feature dimensionality and improve the classification performance, as ...
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Bayesian texture classification and retrieval based on multiscale feature vector
... multiscale feature vector representing magnitude and phase ...of feature vectors is reduced using principal component analysis ...low-dimensional feature vectors for each texture class is then ...
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