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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

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

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

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

** circuit file for profile: buck_boost_cm ** WARNING: THIS AUTOMATICALLY GENERATED FILE MAY BE OVERWRITTEN BY SUBSEQUENT PROFILES *Libraries: * Local Libraries : .LIB ".\smpsrecipes.lib"

function [trainError, testError, estTrainLabels, estTestLabels] = ... Ada_Boost_VC(trainFeatures, trainLabels,sigma ,testFeatures, testLabels) [trainError,testError,estTrainLabels,estTestLabels]