Classes represent the fundamental description of .NET object types; the class is the primary type concept that supports object-oriented programming in F#. In the preceding syntax, the type-name is any valid identifier. The type-params describes optional generic type parameters. It consists of type...
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Having only a set of n most likely subjects or objects as features, this machine learning algorithm is able to predict the correct class with ± 58% accuracy. This result is comparable with results from other researchers, like Merlo and Stevenson, Stevenson and Joanis, and Schulte im Walde....
A framework for the generation of bridge-specific fragility utilizing the capabilities of machine learning and stripe-based approach is presented in this paper. The proposed methodology using random forests helps to generate or update fragility curves for a new set of input parameters with less comput...
Library of python classes for performing Least-Squares Support Vector Machine (LS-SVM) machine-learning modeling. The classes are build to conform to the scikit-learn API allowing for smooth integration with scikit-learn based projects. Implementation details:Tutorial webpage ...
Liu, Y., et al., "Using Machine Learning to Cope with Imbalanced Classes in Natural Speech: Evidence from Sentence Boundary and Disfluency Detection," Proc. ICSLP, Jeju, Korea, 2004.Liu, Y., Shriberg, E., Stolcke, A., Harper, M.: Using Machine Learning to Cope with Imbalanced ...
happy with them. An excellent online mode of learning.The classes were very interactive and insightful. It helped break the boredom of a usual classroom and kept the course interesting. This reduces my effort of reading the books and can start working immediately in the ongoing projects.Read ...
Preparatory material for machine learning courses at Stanford at Cornell. Covers Python and Numpy. This has been used for: The probabilistic graphical models and the deep learning courses at Stanford. The applied machine learning course and deep generative models courses at Cornell. ...
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Returns a generator function for creating analysis reference class objects to use in pemaCompute. Usage setPemaClass(Class, fields = character(), contains = character(), methods = list(), where = topenv(parent.frame()), includeMethods = TRUE, ...) Arguments Class character string name for...