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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
TranslatedGraduate student mathematical modeling, undergraduate mathematical modeling, outstanding papers from mathematical modeling competitions, mathematical modeling algorithms, LaTeX paper templates, algorithm mind maps, reference books, Matlab software tutorials, PPT
- mathematics
- math
- algorithm
- matlab
Instructions for building an almost consumer hardware based prototype of a hearing aid
- hearing
- hearing-aids
- signal-processing
- jack
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning