Multiclass classification (MCC)
Progressive insular cooperative genetic programming algorithm for multiclass classification
... solve multiclass classification MCC problems such as K Nearest Neighbors KNN Naive Bayes NB Neural Networks NN among others When dealing with classification of three or more target classes a crucial ...
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Studying elements ofgenetic programming for multiclass classification
... The first stage of the project was the implementation of the M3GP algorithm and the replication of the results reported in M3GP – Multiclass Classification with GP (2015) [4]. In order to validate our ...
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Approach Multiclass SVM Utilizing Genetic Algorithms
... solving multiclass classification problem is still an on-going research ...to multiclass classification problems usually decompose the multi-class problems into several two-class problems that ...
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Prosodic Classification of Discourse Markers
... a multiclass classification to verify, given their prosodic features, which words in both corpora are classified as discourse markers, which are disfluencies, and which correspond to words that are neither ...
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Classification and combining models
... In addition, we evaluate HIERM - Hierarchical Coupling Model performance when addressing the multiclass classification problems (Sousa Ferreira et al. (2000)) In order to evaluate the performance of the ...
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Imbalanced learning in land cover classification
... a multiclass classification problem with an imbalanced dataset, where the prediction of all the classes are of equal importance as in many remote sensing applications, Accuracy should be of secondary ...
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Molecular classification of breast câncer
... the classification in the following molecular subtypes was possible: luminal A, luminal B, HER2 over-expression, basal-like, normal-like, claudin-low, molecular apocrine, interferon-rich and metaplastic breast ...
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Nominal classification in Tupian languages
... nominal classification in five languages of the Tupian family: Mekéns (Tupari branch); Karitiana (Arikém branch); Gavião (Mondé branch); Karo (Ramarama branch) and Munduruku (Munduruku ...
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Classification of 2x2 fictitious play
... At each stage of the game, each player determines the (mixed) average strategy of him opponent’s play up to this time and plays a (pure) best re- sponse to it.. Recall that ⌃ = ⌃ A ⇥ ⌃ B[r] ...
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Functional Classification of Bitcoin Wallets
... A functional logistic model is also used to classify gene expression data in Leng and Müller (2006). They use the method presented by Rice and Wu (2001) for comparison, and find that their own method achieves lower error ...
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Automated Feature Engineering for Classification Problems
... Evaluation is important to understand the behaviour of algorithms. For the analysed projects, the measure used was classification accuracy [6, 12, 11, 8, 10, 9]. The accuracy is simple to calculate; it is the ...
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A Comparative Framework for Evaluating Classification Algorithms
... The methodological framework maintained during the research study is shown in Figure 1. Since research study is interested in multiple datasets, in the implementation phase sample datasets have been used. On the ...
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Classification rules for Indian Rice diseases
... According to [9], the ID3 algorithm is a decision tree building algorithm which determines classification of objects by testing values of their properties. It builds tree in top down fashion, starting from set of ...
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The book classification of William Torrey Harris: Influences of Bacon and Hegel in library classification
... Whoever has had occasion to consult the classified catalogues of Libraries in this country, or in Europe, has no doubt experiencied the difficult met with in determining what classes he shall search in order to find ...
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SME credit application, a text classification approach
... Advantages of RNN lead into its own feeding in the same node, this fact impacts NLP tasks as the meaning of linguistic units depends on word order; so, RNN are said to have memory over previous elements. Some authors ...
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Multiple Kernel Learning for Breast Cancer Classification
... malignancy classification where custom made classifiers are designed or common known classifiers are tested with the breast cancer data available by the previous two mentioned areas, breast cancer databases and ...
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Enterprise Potential: Essence, Classification and Types
... турних підрозділів, операційних (виробничих) дільниць та окремих робочих місць); за галузевою ознакою (про- мисловий, транспортно-комунікаційний, науковий, буді- вельний, [r] ...
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Land Cover Classification Implemented in FPGA
... This chapter main focus is to present what methods and platforms are being used to help in Land Use/Land Cover Classification. Divided in three sections, first, in section 2.1, different methods and mathematical ...
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Shape based image retrieval and classification
... and Classification Experiments, explain the procedures of the experiments that were followed, and then, finally, conclusions and future work are discussed in the last ...
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