Information Gain
Information Gain as a Feature Selection Method for the Efficient Classification of Influenza Based on Viral Hosts
... To enhance machine learning efficiency, feature selection is often applied to bioinformatics datasets with high dimensionality. Saeys et al. [9] described the pros and cons of three types of feature selection techniques ...
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Parabolic replicator dynamics and the principle of minimum Tsallis information gain
... Thus, parabolic growth appears to be an essential feature of evolving populations of replicators that could be even more directly relevant for biological and prebiological evolution than the exponential growth case. ...
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LACI: Lazy Associative Classification using Information Gain
... using Information gain where, the system first chooses the Information gained attribute from the training sample and computes highest subset probability and then it directly predicts the class ...
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Ranker Information Gain Preprocessed Mutal Reinforcement Clustering For Mining Web Access Logs
... and HSAM 2 utilized „615 ‟ and „840 ‟ respectively. As a result, computational overhead using proposed RIGP-MRC method is lower when compared to the other existing works 1,2 . However, by increasing the number of web ...
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Intrusion Detection in KDD99 Dataset using SVM PSO and Feature Reduction with Information Gain
... the information gain of each ...positive information gain and other attributes are ...applying information gain 18 attributes ...
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Association Rule Generation using Attribute Information Gain and Correlation Analysis for Classification
... The discovery of association rules is an important data- mining task for which many algorithms have been proposed. However, the efficiency of these algorithms needs to be improved to handle real-world large datasets. ...
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FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
... Table 1 reports model performance on CoQA and QuAC. It can be found that FlowDeltaQA yields substantial improvement over FlowQA on both datasets (+ 0.9 % F1 on both CoQA and QuAC), showing the usefulness of explicitly ...
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Feature selection using information gain for improved structural-based alert correlation
... The reason for selecting the important and significant features is to represent the attack steps from the alerts pattern correctly and improve the accuracy of the Structural based Alert Corre- lation (SAC). This section ...
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Probabilistic decision making with spikes: From ISI distributions to behaviour via information gain
... or information gain between ISI distribu- tions, through which we are able to link neural signalling to psychophysical observation at the behavioural ...mean information needed for a decision is ...
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Information Gain Feature Selection for Multi-Label Classification
... Each feature selection technique was experimented with nine executions in which we varied the percentage of selected features between 10% and 90%, in increments of 10%. We evaluated the classifiers using 10-fold ...
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Denial of Services Attack Detection using Random Forest Classifier with Information Gain
... applied Information Gain of attributes which reduced the irrelevant features and give the feature set which gives performance greater than or equal to the performance of set of 41 features and in less ...
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Information gain and loss for a quantum Maxwell's demon
... mutual information which is always pos- itive ...exchanged information (5) may be written as a sum of information gain and information loss, hIi = I gain − I loss , with I ...
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A New Hybrid Framework for Filter based Feature Selection using Information Gain and Symmetric Uncertainty (TECHNICAL NOTE)
... The definition of feature relevance divides the features into strongly relevant, weakly relevant and irrelevant. Removing the irrelevant and weakly relevant features in the original feature space considerably enhances ...
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Point Information Gain and Multidimensional Data Analysis
... global information gain, but also local information gain in some defined surroundings (Algorithm ...local information is defined after removing an element from the bin i where the ...
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A multisine approach for trajectory optimization based on information gain
... This paper presents a multisine approach for trajectory optimization based on information gain, with distance and orientation sensing to known beacons. It addresses the problem of active sensing, i.e. the ...
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Fuzzy-rough Information Gain Ratio Approach to Filter-wrapper Feature Selection
... In this paper a new filter/wrapper approach based on both fuzzy-rough gain ratio and ACO algorithm has been proposed. Its remarkable characteristics are satisfaction of the two important modalities in feature ...
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Incremental Information Gain Analysis of Input Attribute Impact on RBF-Kernel SVM Spam Detection
... on information entropy and incremental learning to see how various features affect the performance of an RBF-based SVM spam detector, so that to increase our awareness of a spam by sensing the features of a ...
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Information Gain Ratio as Term Weight: The case of Summarization of IR Results
... COLING02 mori dvi ??????????? ??? ???? ?? ? ?? ? ???? ? ??? ???? ?? ???? ??? ?? ?? ?? ??? ??? ? ???? ??? ??? ???????? ?? ? ? ???? ????? ??? ??? ????? ? ????????? ? ? ??? ???? ??? ?????????? ???? ?????[.] ...
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Scalable Information Gain Variant on Spark Cluster for Rapid Quantification of Microarray
... Big Data applications are gradually gaining focus, on account of the immense augmentation of information and storage that has occurred in the most recent decade. Traditional data mining techniques are facing huge ...
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A High Gain Pattern Reconfigurable Micro-strip Dipole Antenna with a Gain Enhancing Partially Reflecting Surface
... high gain beam switching antenna has been proposed and is capable of boresight and end-fire ...the gain can be switched at boresight by ...in gain is observed at end ...of gain for dual ...
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