Machine learning

Logistic Regression Matlab Code

logistic regression, or logit regression, is a type of probabilistic statistical classification model. It is also used to predict a binary response from a binary predictor, used for predicting the outcome of a categorical dependent variable (i.e., a class label) based on one or more predictor variables (features).

The following matlab project contains the source code and matlab examples used for logistic regression.

Em algorithm for gaussian mixture model with background noise in matlab

The following Matlab project contains the source code and Matlab examples used for em algorithm for gaussian mixture model with background noise. This is the standard EM algorithm for GMMs, presented in Bishop's book "Pattern Recognition and Machine Learning", Chapter 9, with one small exception, the addition of a uniform distribution to the mixture to pick up background noise/speckle; data points which one would not want to associate with any cluster.

Parameter estimation technique for general datasets in matlab

The following Matlab project contains the source code and Matlab examples used for parameter estimation technique for general datasets. In the paper "An estimation technique for Time Indexed gaussian Mixture Models", we propose a model specification that can be used to describe data with spikes, jumps, mean reversion, geometric brownian motion, you name it.

Adaboost Matlab Code

AdaBoost, short for "Adaptive Boosting", is a machine learning meta-algorithm formulated by Yoav Freund and Robert Schapire who won the prestigious "Gödel Prize" in 2003 for their work.It can be used in conjunction with many other types of learning algorithms to improve their performance.

Adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire in matlab

The following Matlab project contains the source code and Matlab examples used for adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire . AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire.

Adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire in matlab

The following Matlab project contains the source code and Matlab examples used for adaboost: the meta machine learning algorithm formulated by yoav freund and robert schapire . AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire.

Pca Matlab Code

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Principal component analysis

Genetic Algorithm Matlab Code

Genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.[1] Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.

genetic algorithm

Pages

Subscribe to RSS - Machine learning