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- Irvine Machine Learning Repository. We currently maintain 251 data sets as a service ... machine learning community. You may view all data sets through our searchable interface ... site for the Repository. The UCI Machine Learning Repository is a collection of databases, domain ... generators that are used by the machine learning community for the empirical analysis of machine...
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- PRMLT: Pattern Recognition and Machine Learning Toolbox. This Matlab package implements machine learning algorithms described ... great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely...
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- LIBSVM has gained wide popularity in machine learning and many other areas. In this article...
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- C4.5: programs for machine learning. (C4.5 has been superseded by C5.0...
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- Scikit-learn: machine learning in python. Scikit-learn is a Python module integrating a wide ... range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised ... problems. This package focuses on bringing machine learning to non-specialists using a general-purpose...
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- organization for the purposes of conducting machine learning and deep neural networks research...
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- accompany Kevin Murphy’s textbook Machine learning: a probabilistic perspective, but can also be used ... unified conceptual and software framework encompassing machine learning, graphical models, and Bayesian statistics (hence...
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- Knowledge Analysis. WEKA is a popular machine learning workbench with a development life of nearly...
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- from the training text data and then learns vector representation of words. The resulting word ... many natural language processing and machine learning applications...
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- SHOGUN machine learning toolbox. We have developed a machine learning toolbox, called SHOGUN, which ... offers a considerable number of machine learning models such as support vector machines, hidden Markov ... models, multiple kernel learning, linear discriminant analysis, and more. Most of the specific algorithms ... already widely adopted in the machine learning community and beyond. SHOGUN is implemented...
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- open source computer vision and machine learning software library. OpenCV was built to provide ... applications and to accelerate the use of machine perception in the commercial products. Being ... computer vision and machine learning algorithms. These algorithms can be used to detect and recognize...
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- package kernlab: Kernel-based Machine Learning Lab. Kernel-based machine learning methods for classification, regression ... Among other methods kernlab includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes...
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- efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost...
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- Such structured constraints appear pervasively in machine learning applications, including low-rank matrix completion, sensor...
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- LERS – a system for learning from examples based on rough sets. The paper presents ... choice to use the machine learning approach or the knowledge acquisition approach. In the first...
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- transformation, numerical simulation, statistical modeling, machine learning and much more...
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- apply neural networks or other machine learning methods to approximate the unknown nonlinear responses. Comparing...
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- Pearlmutter mainly for research applications in machine learning, as part of their work...
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- software engineering, database and web design, machine learning, and in visual interfaces for other technical...
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- effective for the hyperparameter optimization of machine learning algorithms, scaling better to high dimensions...