文件名称:dogma
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DOGMA是一个关于在线学习的工具箱,里面很多算法十分实用,包括OISVM(online independent SVM).-DOGMA is a useful online learning alogrithm by matlab code. It includes a lot of useful alogrithm, including Online independent SVM(OISVM)
相关搜索: online SVM
(系统自动生成,下载前可以参看下载内容)
下载文件列表
demos/
demos/obscure/
demos/obscure/README
demos/obscure/demo_obscure.m
demos/obscure/obscure_test.m
demos/data/
demos/omcl/
demos/omcl/README
demos/omcl/demo_omcl.m
demos/.directory
demos/.svn/
demos/.svn/props/
demos/.svn/text-base/
demos/.svn/entries
demos/.svn/prop-base/
demos/.svn/all-wcprops
demos/.svn/tmp/
demos/.svn/tmp/props/
demos/.svn/tmp/text-base/
demos/.svn/tmp/prop-base/
demos/om-2/
demos/om-2/README
demos/om-2/demo_om2.m
banditron_multi_train.m
chisquare_sparse.c
chisquare_sparse.mexa64
compute_kernel.m
Contents.m
demo.m
hist_intersection_sparse.c
hist_intersection_sparse.mexa64
k_alma2_train.m
k_forgetron_st_train.m
k_obscure_batch_train.m
k_obscure_online_train.m
k_obscure_train.m
k_oisvm_train.m
k_om2_mp_multi_train.m
k_om2_multi_train.m
k_omcl_multi_train.m
k_pa_multi_train.m
k_pa_train.m
k_pegasos_train.m
k_perceptron_multi_train.m
k_perceptron_train.m
k_projectron_train.m
k_projectron2_multi_train.m
k_projectron2_train.m
k_sop_train.m
k_ssmd_train.m
kbeta_double.cpp
kbeta_double.mexa64
kbeta_single.cpp
kbeta_single.mexa64
licence.txt
model_init.m
model_mc_init.m
model_predict.m
pa_multi_train.m
pa_train.m
perceptron_train.m
pnorm_train.m
randnorm.m
readme.txt
shuffledata.m
sop_adapt_train.m
sop_train.m
demos/obscure/
demos/obscure/README
demos/obscure/demo_obscure.m
demos/obscure/obscure_test.m
demos/data/
demos/omcl/
demos/omcl/README
demos/omcl/demo_omcl.m
demos/.directory
demos/.svn/
demos/.svn/props/
demos/.svn/text-base/
demos/.svn/entries
demos/.svn/prop-base/
demos/.svn/all-wcprops
demos/.svn/tmp/
demos/.svn/tmp/props/
demos/.svn/tmp/text-base/
demos/.svn/tmp/prop-base/
demos/om-2/
demos/om-2/README
demos/om-2/demo_om2.m
banditron_multi_train.m
chisquare_sparse.c
chisquare_sparse.mexa64
compute_kernel.m
Contents.m
demo.m
hist_intersection_sparse.c
hist_intersection_sparse.mexa64
k_alma2_train.m
k_forgetron_st_train.m
k_obscure_batch_train.m
k_obscure_online_train.m
k_obscure_train.m
k_oisvm_train.m
k_om2_mp_multi_train.m
k_om2_multi_train.m
k_omcl_multi_train.m
k_pa_multi_train.m
k_pa_train.m
k_pegasos_train.m
k_perceptron_multi_train.m
k_perceptron_train.m
k_projectron_train.m
k_projectron2_multi_train.m
k_projectron2_train.m
k_sop_train.m
k_ssmd_train.m
kbeta_double.cpp
kbeta_double.mexa64
kbeta_single.cpp
kbeta_single.mexa64
licence.txt
model_init.m
model_mc_init.m
model_predict.m
pa_multi_train.m
pa_train.m
perceptron_train.m
pnorm_train.m
randnorm.m
readme.txt
shuffledata.m
sop_adapt_train.m
sop_train.m
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