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function D = ada_boost(train_features, train_targets, params, region); % Classify using the AdaBoost algorithm % Inputs: % features - Train features % targets - Train targets % Params - [Numbe

/*- * Copyright (c) 2008, Alexandre P. Francisco * * Permission to use, copy, modify, and/or distribute this software for any * purpose with or without fee is hereby granted, pro

/****************************************************************************** boost_model.c - use fit() on each class to find a model that fits the data ********************************************

/****************************************************************************** boost-main.c - main driver program for experiments with boosting largely pilfered from ripper-main.c ****************

function D = ada_boost(train_features, train_targets, params, region); % Classify using the AdaBoost algorithm % Inputs: % features - Train features % targets - Train targets % Params - [Numbe

function [test_targets, E] = ada_boost(train_patterns, train_targets, test_patterns, params) % Classify using the AdaBoost algorithm % Inputs: % train_patterns - Train patterns % train_targets