classification problems
Study of cost functions in three term backpropagation for classification problems
... various classification problems and proven to be performed well in the Two Term ...The classification domain was selected or this study since BP is successful in this ...
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Weighted Description Logic for Classification Problems
... We summarise the definitions and some technical aspects of a familiy of description logics that introduce concept constructors (so-called tooth-operators) which, under various constraints, accumu- late weights of ...
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Local Boosting of Decision Stumps for Regression and Classification Problems
... In classification problems, each node in a decision stump represents a feature in an instance to be classified, and each branch represents a value that the node can ...regression problems, DS (or ...
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Multilevel learning in Kohonen SOM network for classification problems
... The choice of metric for neural network that implements competitive learning rule such as SOM is directly connected to the representation of data and it crucially influences the efficiency, accuracy and generalization ...
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Multistrategy self-organizing map learning for classification problems
... Multistrategy Learning of Self-Organizing Map (SOM) and Particle Swarm Optimization (PSO) is commonly implemented in clustering domain due to its capabilities in handling complex data characteristics. However, some of ...
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Distributed AdaBoost Extensions for Cost sensitive Classification Problems
... mining, classification of data has always been an area of in- terest and this is especially true after the rapid increase in availabil- ity of data being ...Cost-sensitive classification is a subset of the ...
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Cue phrase selection methods for textual classification problems
... identification classification task, it needs more than just lexical fea- ...suitable classification tasks and they should be applicable to a wide range of text classification ...
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Datamining Application for the Prediction of Binary Classification Problems
... using classification we can group ...using classification we can decide to which class the new item belong ...in classification to achieve maximum accuracy. Each classification technique has ...
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A comparative analysis on feature selection techniques for classification problems
... Feature selection is often applied to optimize the classification process. Numerous feature selection methods have been broadly used for different domains for instances for medical, educational, computer security ...
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Using Genetic Algorithms for Texts Classification Problems
... of problems - from recognition of the fuzzy set to creation of search ...Such problems lean on concept of classification and clustering ...([2]). Classification consists in definition of an ...
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PART II ISOVARIANT HOMOTOPY, CLASSIFICATION PROBLEMS, AND GENERAL POSITION
... the classification of equivariant smoothings reduce to equivariant bundle-theoretic questions, at least if there are no 4-dimensional components in the fixed point sets of the isotropy sub- ...bundle-theoretic ...
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Nonlinear parameter estimation in classification problems
... One shortcoming of all gradient descent type algorithms, such as the online learning algorithm discussed in the first part of this thesis, is that estimates may be attracted to local min[r] ...
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Active learning methods for classification and regression problems
... the classification decision hyperplane in a multidimensional ...multiclass classification problems using SVM as ...the classification error are different due to the inherent label ...
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Online Full Text
... SVM [20]. Linear SVM was used in retraining and both one-vs-one and ECOC classification. For ECOC classifi- cation, random coding strategy was used in which values {-1, 1} are selected uniformly at random to make ...
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Data mining for classification of power quality problems using WEKA and the effect of attributes on classification accuracy
... J48 is an open source Java implementation of the C4.5 algorithm in the WEKA data mining tool. It creates a binary tree. It is one of the most useful decision tree ap- proach for classification problems. It ...
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Problems of definition and classification of fantasy: Western European and Slavonic perspectives
... and classification of literary works marked as ...or classification of the ...about classification of the genre we can point out two subgroups such as leaning towards the mythological basis and ...
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Classification Approach for Big Data Driven Traffic Flow Prediction using Apache Spark
... of classification, natural language processing, dimensionality reduction, object detection, motion modeling, ...the classification process and reducing the storage requirements and processing ...the ...
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Problems of Classification
... State nor any other person would be able to detect or refute the classification because it would be a purely subjective decision. The significance of the problem associated with this type of definition is ...
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Operational calculs for the continuous Legendre transform with applications
... Continuous Legendre Transform, Operational Calculus, Convolution, Boundary Value Problems.. 1980 AMS SUBJECT CLASSIFICATION CODES:.[r] ...
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OFF LINE SIGNATURE VERIFICATION SYSTEM BASED ON DWT AND COMMON FEATURES EXTRACTION
... offs in the problem; no point on the Pareto front can be modified to improve one objective without simultaneously degrading another. Multi-objective GP (MOGP) has a number of advantages: As well as controlling bloat very ...
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