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  • How to create text classifiers with Machine Learning MonkeyLearn

    Jan 31, 2017 Building a quality machine learning model for text classification can be a A classification process that has a clear structure can make a great

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  • Machine Learning Classifiers Towards Data Science

    Jun 11, 2018 Attributes in the top of the tree have more impact towards in the classification and they are identified using the information gain concept.

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  • List of datasets for machine learning research

    These datasets are used for machine learning research and have been cited in peer reviewed High quality labeled training datasets for supervised and semi supervised machine videos for tasks such as object detection, facial recognition, and multi label classification SCFace, Color images of faces at various angles.

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  • The Performance of Maximum Likelihood, Spectral Angle Mapper

    (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers of spectral bands and higher spectral resolution has.

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  • Machine Learning for High Throughput Stress Phenotyping in Plants

    Key Figure: Machine Learning (ML) Tools for High Throughput Stress .. platform was equipped with a visible range camera to capture ultra high resolution images. bacterial angular blight, and Ascochyta blight using a SVM classifier [39], The SVM model was comprehensively tested on 1200 individual Arabidopsis

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  • Wearable Sensor Data Classification for Human Activity MDPI

    Jun 7, 2017 Machine learning provides an excellent approach to improve model accuracy, . resulting classification model is not biased due to the quality of the input data [31]. . The second feature set is related to roll, pitch and yaw (RPY) angles, . 1200. 1000. 800. 600. 400. 200. Raw data accX tseconds milli g.

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  • A Tour of The Top 10 Algorithms for Machine Learning Newbies

    Jan 20, 2018 In a nutshell, it states that no one algorithm works best for every Machine learning algorithms are described as learning a target function (f) that . factors, including: (1) The size, quality, and nature of data; (2) The available

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  • Performance Evaluation of Machine Learning Algorithms for MDPI

    Mar 31, 2014 (GLCM), such as angular second moment, entropy, contrast or correlation. Four machine learning classification algorithms (Normal Bayes, image bands and multiplies the result with a higher resolution (panchromatic) band. .. datasets for each image type with a size of 1400 (QB), 1200 (TM) or 720

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  • Content classification technology Classifier Antidot

    High performance content classification driven by machine learning Ongoing quality control provides a feedback loop that adjusts incorrect tagging, increasing

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  • Angle based Multicategory Distance weighted SVM Journal of

    of both support vector machine (SVM) and distance weighted discrimination (DWD) but . results show that these angle based classifiers have good prediction

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