stevenxchung / Stanford-Machine-Learning-CourseworkLinks
Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition…
☆24Updated 7 years ago
Alternatives and similar repositories for Stanford-Machine-Learning-Coursework
Users that are interested in Stanford-Machine-Learning-Coursework are comparing it to the libraries listed below
Sorting:
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Updated 10 years ago
- Matlab implementation of the EM and MCMC algorithm for SVMs as introduced in the paper "Data augmentation for support vector machines"☆18Updated 11 years ago
- Bayesian System IDentification☆27Updated 7 years ago
- In this repository, all the Matlab codes, used for developing my Master Thesis: "Polynomial Chaos Theory: Application to the stability of…☆15Updated 6 years ago
- this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to…☆80Updated 8 years ago
- multivariate Gaussian process regression and multivariate Student-t process regression☆77Updated 4 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 9 years ago
- Newer Matlab Implementation of Machine Learning Control☆15Updated last month
- Code to implement efficient spatio-temporal Gaussian Process regression via iterative Kalman Filtering. KF is used to resolve the tempora…☆39Updated 7 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆71Updated 8 years ago
- Parametric Gaussian Process Regression for Big Data (Matlab Version)☆24Updated 7 years ago
- Gaussian Process Regression using GPML toolbox☆36Updated 5 years ago
- Polynomial Chaos Expansion Toolbox for MATLAB☆35Updated 4 months ago
- MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3☆55Updated 7 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algo…☆22Updated 3 years ago
- MATLAB Tool for Multi-Objective Optimization☆61Updated 8 months ago
- Spike sorting implemented with principal component analysis (PCA) and density-based spatial clustering of applications with noise (DBSCAN…☆12Updated 6 years ago
- Matlab implementation of particle swarm optimization. Well documented with examples.☆91Updated 9 years ago
- Particle filter-based Gaussian process optimisation for parameter inference☆11Updated 8 years ago
- Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descen…☆38Updated 5 years ago
- Matlab codes for Arbitrary Polynomial Chaos Expansion☆13Updated 5 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 2 years ago
- Robust algorithm for global optimization problems☆30Updated 7 years ago
- MATLAB implementations of a variety of nonlinear programming algorithms.☆172Updated 5 years ago
- A multi-modal multi-objective evolutionary algorithm using two-archive and recombination strategies (IEEE Transactions on Evolutionary Co…☆21Updated 4 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼（1）：MNIST實踐☆15Updated 6 years ago
- Matlab implementation of the Bayesian Fuzzy Clustering algorithms. See related paper, doi: 10.1109/TFUZZ.2014.2370676☆25Updated 6 years ago
- Bayesian optimization and active learning with likelihood-weighted acquisition functions☆15Updated last year
- A lightweight MATLAB implementation of Bayesian Optimization for Hyperparamter optimization with or without constraints.☆20Updated 8 years ago