Search Results - (( using function method algorithm ) OR ( software classification clustering algorithm ))
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A study on component-based technology for development of complex bioinformatics software
Published 2004“…The second layer uses discriminative SVM algorithm with a state-of-the-art string kernel based on PSI-BLAST profiles that is used to leverage the unlabeled data. …”
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Monograph -
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Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…Firstly, the wafer image is acquired using the image mosaicing method. Then, die classification is performed to obtain the positions of functional and non-functional dies. …”
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Implementation of vision-assisted path planning system for bulk die sorting in semiconductor industry
Published 2018“…Firstly, the wafer image is acquired using the image mosaicing method. Then, die classification is performed to obtain the positions of functional and non-functional dies. …”
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Development of an intelligent system using Kernel-based learning methods for predicting oil-palm yield.
Published 2005“…At the core of our system is a method for unsupervised partitioning of data for finding spatio-temporal patterns in climate data using kernel methods which offer strength to deal with complex data non-linearly separable in input space. …”
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A framework for predicting oil-palm yield from climate data
Published 2006“…In this paper we present a robust weighted kernel k-means algorithm incorporating spatial constraints for clustering the data. …”
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Development of an intelligent prediction tool for rice yield based on machine learning techniques
Published 2006“…Whereas kernel-based clustering algorithm is developed for finding clusters in climate data. …”
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Anomaly-based intrusion detection through K-Means clustering and Naives Bayes classification
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Neuro fuzzy classification and detection technique for bioinformatics problems
Published 2007“…It is very important to identify new integration of classification or clustering algorithm especially in neuro fuzzy domain as compared to conventional or traditional method. …”
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Book Section -
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Classification and detection of intelligent house resident activities using multiagent
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Blood cell image segmentation using unsupervised clustering techniques
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Application Of Neural Network In Malaria Parasites Classification
Published 2006“…Multilayer Perceptron (MLP) network and Radial Basis Function (RBF) network will be developed using MATLAB in which MLP network is trained with Back Propagation, Bayesian Rule and Levenberg-Marquardt learning algorithm and RBF network is trained with k-means clustering algorithm. …”
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Monograph -
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Minimizing the number of stunting prevalence using the euclid algorithm clustering approach
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