Classification Algorithm
A Novel Classification Algorithm Based on Incremental Semi-Supervised Support Vector Machine.
... novel classification algorithm based on incremental semi-supervised support vector machine (SVM) is ...proposed algorithm, the computation complexity is reduced ...our algorithm does not rely ...
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Synthesis of supervised classification algorithm using intelligent and statistical tools
... retro-propagation algorithm until reaching a null error defined in last ...the classification algorithm, the curves representing training error according epochs number on one hand in figure 11 and ...
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A New Class Based Associative Classification Algorithm
... into classification can improve the accuracy and obtain some valuable rules and information that cannot be captured by other classification ...associative classification approach (CACA) is ...
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A CLASSIFICATION ALGORITHM FOR HYPERSPECTRAL DATA BASED ON SYNERGETICS THEORY
... new classification methodology for hyperspectral data based on synergetics theory, which describes the sponta- neous formation of patterns and structures in a system through ...accurate classification map ...
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Evaluation of image registration performance and study of classification algorithm on histopathological images
... The process always starts with a request from pathologists. They have specific questions and so they need objective answers. Therefore, to get the intended analysis, several requirements have to be priori set: what they ...
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The CR‐Ω+ Classification Algorithm for Spatio‐Temporal Prediction of Criminal Activity
... Ω+ algorithm was not originally designed for dealing with time series data, constructing the supervision sample in strict chronologic order yields the same ...
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MODIS Collection 6 shortwave-derived cloud phase classification algorithm and comparisons with CALIOP
... The active lidar observations from CALIOP provide an ex- cellent benchmark for developing and evaluating the C6 MOD06 COP phase algorithm. This study uses the CALIOP cloud phase discrimination (Hu et al., 2009) ...
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Defining and evaluating classification algorithm for high-dimensional data based on latent topics.
... Topic model is a powerful and popular tool in machine learning and natural language processing. Most related to our method, Cai et al. [12] utilize topic features constructed by the LDA algorithm to improve the ...
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Physical Activity Recognition Using a Single Tri-Axis Accelerometer
... The classification method based on Fuzzy c means classification algorithm, recognition accuracy of over 99% on a five activities (standing, sitting, lying, walking and ...
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Liu Weijuan,a Qiu Changgui,b Li Minga and Yang Yanmeia
... correct classification number and accuracy of spare representation classification algorithm based on NNLS sparse coding is comparable with that of other two ...ineffective classification ...
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Research on manufacturing text classification based on improved genetic algorithm
... text classification algorithms, which can be divided into two categories: one is based on statistics, such as Bayesian classification algorithm, support vector machine, K- nearest neighbor and ...
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Identifying and Extracting Named Entities from Wikipedia Database Using Entity Infoboxes
... If any named entity with an entry in Wikipedia can be identified, then hypothesis on the likelihood of recognizing all Wikipedia articles on these entities can be reached. Therefore, the proposed classification ...
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An Improved k-Nearest Neighbor Classification Using Genetic Algorithm
... KNN algorithm accomplishes very good performance in their experiments on different data ...text classification algorithm has three limitations: (i) calculation complexity due to the usage of all the ...
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A survey of data mining & its applications
... b) Classification: Classification is the most commonly applied data mining technique, which employs a set of pre- classified examples to develop a model that can classify the population of records at ...
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Fruit recognition and classification based on SVM method for production prediction of peaches
... new classification algorithm based on support vector machine (SVM) for apple recognition is introduced to improve recognition accuracy and ...the algorithm, it must be stated that results were ...
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An Ensemble Method based on Particle of Swarm for the Reduction of Noise, Outlier and Core Point
... of classification algorithm in data mining are challenging task for data ...data classification used different classifier along with another classifier in a manner of ensemble ...the ...
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Classification of High Spatial Resolution Image Using Multi Circular Local Binary Pattern and Variance
... Hence classification of high spatial resolution satellite image either by pixel-based or texture-based classification technique does not yield good ...ISODATA classification algorithm ...
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Dynamic OSINT System Sourcing from Social Networks
... and classification of users from this social network (also known as twitters), and another one for the selection and classification of posts related with the aforementioned area and published by those ...
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Classification of Brain Tumor Using Support Vector Machine Classfiers
... for classification falls into two ...(KNN) Algorithm which are used for ...for classification as it gives better accuracy and performance ...nonlinear classification algorithm based on ...
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SVM Based Decision Support System for Heart Disease Classification with Integer-Coded Genetic Algorithm to Select Critical Features
... disease classification is described. Integer coded Genetic Algorithm is used to find the optimal feature subset for maximizing SVM’s classification accuracy with a reduced number of ...SSVM ...
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