function?D?=?ada_boost（train_features?train_targets?params?region）;

%?Classify?using?the?AdaBoost?algorithm
%?Inputs:
%?	features	-?Train?features
%	targets	-?Train?targets
%	Params	-?[NumberOfIterations?Weak?Learner?Type?Learner‘s?parameters]
%	region	-?Decision?region?vector:?[-x?x?-y?y?number_of_points]
%
%?Outputs
%	D			-?Decision?sufrace
%
%?NOTE:?This?algorithm?is?very?tuned?to?the?2D?nature?of?the?toolbox!

[k_max?weak_learner?alg_param]?=?process_params（params）;

[NiM]			=?size（train_features）;
D			?		=?zeros（region（5））;
W			?		=?ones（1M）/M;
IterDisp			=?10;

%Find?where?the?training?features?fall?on?the?decision?grid
N???????????=?region（5）;
mx??????????=?ones（N1）?*?linspace?（region（1）region（2）N）;
my??????????=?linspace?（region（3）region（4）N）‘?*?ones（1N）;
flatxy??????=?[mx（:）?my（:）]‘;
train_loc	=?zeros（1M）;
for?i?=?1:M
???dist?=?sqrt（sum（（flatxy?-?train_features（:i）*ones（1N^2））.^2））;
???[m?train_loc（i）]?=?min（dist）;
end

%Do?the?AdaBoosting
for?k?=?1:k_max
???%Train?weak?learner?Ck?using?the?data?sampled?according?to?W:
???%...so?sample?the?data?according?to?W
???randnum?=?rand（1M）;
???cW	???=?cumsum（W）;
???indices?=?zeros（1M）;
???for?i?=?1:M
??????%Find?which?bin?the?random?number?falls?into
??????loc?=?max（find（randnum（i）?>?cW））+1;
??????if?isempty（loc）
?????????indices（i）?=?1;
??????else
?????????indices（i）?=?loc;
??????end
???end
???
???%...and?now?train?the?classifier
???Ck?	=?feval（weak_learner?train_features（:?indices）?train_targets（indices）?alg_param?region）;
???Ckl?	=?Ck（:）;
???
???%Ek?<-?Training?error?of?Ck?
???Ek?=?sum（W.*（Ckl（train_loc）‘?~=?train_targets））;
???
???if?（Ek?==?0）
??????break
???end
???
???%alpha_k?<-?1/2*ln（1-Ek）/Ek）
???alpha_k?=?0.5*log（（1-Ek）/Ek）;
???
???%W_k+1?=?W_k/Z*exp（+/-alpha）
???W??=?W.*exp（alpha_k*（xor（Ckl（train_loc）‘train_targets）*2-1））;
???W??=?W./sum（W）;
???
???%Update?the?decision?region
???D??=?D?+?alpha_k*（2*Ck-1）;
???
???if?（k/IterDisp?==?floor（k/IterDisp））
??????disp（[‘Completed?‘?num2str（k）?‘?boosting?iterations‘]）
???end
???
end

D?=?D>0;

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件??????952782??2002-05-20?08:36??About.bmp
?????文件????????2137??2002-06-25?09:28??Ada_Boost.m
?????文件????????3004??2002-02-18?13:25??ADDC.m
?????文件????????4318??2002-03-20?22:43??AGHC.m
?????文件????????3266??2002-03-21?09:29??Backpropagation_Batch.m
?????文件????????5183??2002-03-21?09:34??Backpropagation_CGD.m
?????文件????????6448??2002-03-21?09:31??Backpropagation_Quickprop.m
?????文件????????4963??2002-03-21?09:34??Backpropagation_Recurrent.m
?????文件????????3216??2002-03-21?09:33??Backpropagation_SM.m
?????文件????????2986??2002-03-21?09:33??Backpropagation_Stochastic.m
?????文件????????1377??2002-03-21?09:38??Balanced_Winnow.m
?????文件????????3248??2002-03-24?11:32??Bayesian_Model_Comparison.m
?????文件?????????588??2001-12-27?09:56??Bhattacharyya.m
?????文件????????3298??2002-03-21?09:37??BIMSEC.m
?????文件????????5984??2002-06-30?00:02??C4_5.m
?????文件?????????758??2001-12-24?16:34??calculate_error.m
?????文件????????1060??2001-02-22?13:06??calculate_region.m
?????文件????????4104??2002-03-20?22:43??CART.m
?????文件?????????846??2002-02-09?22:54??CARTfunctions.m
?????文件????????5443??2002-03-21?09:39??Cascade_Correlation.m
?????文件?????????902??2001-12-27?10:15??Chernoff.m
?????文件????????1528??2002-02-14?22:59??chess.mat
?????文件????????2837??2002-10-11?12:55??Classification.txt
?????文件????????1995??2002-09-18?20:40??classification_error.m
?????文件??????300868??2005-11-29?13:36??Classification_Toolbox.pdf
?????文件???????18308??2002-12-02?19:11??classifier.m
?????文件????????4328??2002-03-09?23:59??classifier.mat
?????文件???????24730??2002-12-02?21:10??classifier_commands.m
?????文件????????2926??2002-02-14?22:59??click_points.m
?????文件???????86112??2002-02-14?22:59??clouds.mat
?????文件????????2842??2002-03-21?09:36??Competitive_learning.m
............此處省略133個文件信息