Search Results - (( java orientation learning algorithm ) OR ( nonparametric optimization method algorithm ))
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Adaptive Similarity Component Analysis in Nonparametric Dynamic Environment
Published 2011“…The novelty of the proposed approach resides in the possibility to reduce the dimensions of feature space and simultaneously increase the accuracy of similarity-based classification method in an adaptive fashion in the nonparametric dynamic environment. …”
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Object-Oriented Programming semantics representation utilizing agents
Published 2011“…Learning programming from source code examples is a common behavior among novices. …”
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Hybrid performance measures and mixed evaluation method for data classification problems
Published 2012“…Moreover, the GA model that was optimized by OAERP2 measure (GAoe2) performed significantly and statistically differently as compared to other OAERP2-based models through win-draw-loss evaluation method and two nonparametric tests. …”
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Application of nature-inspired algorithms and artificial intelligence for optimal efficiency of horizontal axis wind turbine / Md. Rasel Sarkar
Published 2019“…There is no particular study which focuses on the optimization and prediction of blades parameters using natural inspired algorithms namely Ant Colony Optimization (ACO), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) and Adaptive Neuro-fuzzy Interface System (ANFIS) respectively for optimal power coefficient (�436�45D ). …”
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Color Image Segmentation Based on Bayesian Theorem for Mobile Robot Navigation
Published 2009“…The estimation of unknown PDF is a common problem and in this study Gaussian kernel function which is most widely used nonparametric density estimation method has been used for PDF calculation. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…In order to demonstrate the efficiency of the proposed method, it is compared rigorously with several parametric and nonparametric models. …”
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