Na-akwado igwe vector
Igwe ihe na-akwado vector (SVM) bụ algọridim kpochapụrụ nke na-ekewa otu abụọ site n'iwepụta oke kachasị n'etiti ha.
Nchịkọta
It was one of the most powerful classifiers before deep learning and is still strong on small, clean datasets.
Ime miri emi
SVM na-achọta oke mkpebi, nke a na-akpọ hyperplane, nke na-eme ka oke oke, ọdịiche dị n'etiti oke na ebe data kacha nso nke klaasị ọ bụla. Ebe ndị ahụ kacha nso bụ 'vectors nkwado,' na naanị ha na-akọwa oke, nke na-eme ka ihe nlereanya ahụ sie ike ma na-eguzogide ihe ndị dị anya site na nsọtụ. Mgbe enweghị ike iji ahịrị kwụ ọtọ kewaa data, aghụghọ kernel na-edobe ya ka ọ bụrụ oghere dị elu ebe nkewa dị ọcha dị, na-enweghị ịgbakọ nhazi ndị ahụ ozugbo. Oke dị nro na-enye ohere ụfọdụ klaasị, nke oke C na-achịkwa, yabụ ihe nlereanya ahụ na-edozi oke oke megide njehie ọzụzụ. SVM na-aka nke ọma mgbe njirimara dị ọtụtụ mana ọmụmaatụ dị ole na ole, dịka na nhazi ederede na bioinformatics.
Nghọta nka nka
Ịkacha oke oke bụ nsogbu njikarịcha convex, yabụ SVM nwere otu kacha mma zuru ụwa ọnụ, n'adịghị ka netwọkụ akwara. Aghụghọ kernel na-eji ọrụ kernel dochie ngwaahịa ntụpọ n'etiti isi data, dị ka ọrụ radial base function (RBF) ma ọ bụ kernel polynomial, nke na-agbakọ myirịta na oghere akụkụ dị elu nke ọma. Nke a na-enye ohere ka usoro ahịrị na-esetịpụ oke ndị gbagọrọ agbagọ dị ọnụ ala. Hyperparameters abụọ na-achịkwa n'iji ya gee ntị: C, nke na-azụta obosara oke megide njehie, yana gamma na kernel RBF, nke na-ekpebi ebe mmetụta isi ihe ọ bụla ruru.
Mmetụta atụmatụ
Mkpebi doro anya
Ọ na-enyere gị aka ikewapụta nkwupụta ọrụ aka doro anya na asụsụ ahịa.
Ọnụ ego na mmefu ego
Ị nwere ike ịjụ ajụjụ mmejuputa iwu ka mma tupu itinye ego ma ọ bụ oge.
Team na usoro ọrụ
Ndị otu nwere nghọta na-eme ka ngwaahịa, amụma na mkpebi mmụta ka mma.
Ọdịnihu nke igwe nkwado Vector
SVM ejirila mmụta miri emi na osisi kwalitere gradient maka nnukwu datasets dị mgbagwoju anya, mana ha na-abụ nhọrọ a pụrụ ịdabere na ya mgbe data dị ụkọ, akụkụ dị elu, ma ọ bụ chọrọ ntọala siri ike, ghọtara nke ọma. Ha na-anọkarị na nkuzi, na bioinformatics na ọrụ ederede, yana na ntọala nwere oke akụrụngwa ebe obere ihe nlere ngwa ngwa na-akụ netwọkụ dị arọ. Na-atụ anya na SVM ga-anọgide dị ka ngwá ọrụ oge gboo a pụrụ ịdabere na ya na benchmark kama oke nke nyocha ọhụrụ.
Mmejuputa n'ezie n'ụwa
Nkewa ederede na spam, ebe akwụkwọ nwere ọtụtụ puku njirimara okwu mana ihe atụ nwere oke.
Nhazi onyonyo na obere dataset tupu mmụta miri emi aghọọ onye na-achị.
Nkewa ọrịa kansa na mkpụrụ ndụ ihe nketa na bioinformatics nwere ọtụtụ atụmatụ yana nlele ole na ole.
Nchọpụta mkpụrụọnụọgụgụ ejiri aka dee, akara ngosi SVM mara mma na dataset MNIST.
Ihe ize ndụ & okporo ụzọ nche
Otu dị iche iche nwere ike iji otu okwu ahụ mee ihe n'ụzọ dị iche, yabụ kọwapụta oge n'oge.
Ihe nrịbama nwere ike ịdị ike ebe arụmọrụ ụwa na-adaghị adaba.
Ileghara ogo data na atụmatụ nyocha anya na-emepụtakarị nsonaazụ na-adịghị mma.
Map mmejuputa
Malite na nkọwa asụsụ dị larịị nke nsonaazụ ịchọrọ.
Họrọ otu metrik ịga nke ọma na otu ọnọdụ ọdịda tupu nnwale.
Gbaa obere onye na-anya ụgbọ elu nwere data nnọchite anya, ọ bụghị ihe ngosi ngosi na-egbu maramara.
Detuo ebe Nkwado Vector Machines na-enyere aka yana ebe ụzọ dị mfe dị mma.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Ntọala mmụta igwe
Ajụjụ a na-ajụkarị
What is Support Vector Machines?
Igwe ihe na-akwado vector (SVM) bụ algọridim kpochapụrụ nke na-ekewa otu abụọ site n'iwepụta oke kachasị n'etiti ha. Ọ bụ otu n'ime nhazi ọkwa kachasị ike tupu mmụta miri emi ma ka siri ike na obere datasets dị ọcha.
Kedu ihe igwe vector na-akwado na-agbalị ịbawanye elu?
Otu SVM na-achọta hyperplane nke na-ebuli oke oke, ebe dị anya na ebe kacha nso na klaasị ọ bụla, maka nkewa kacha sie ike.
Kedu ihe bụ 'vectors nkwado' na SVM?
Naanị isi ihe dị nso n'ókè, vectors nkwado, na-ekpebi hyperplane; isi ihe ndị ọzọ nwere ike ịgagharị na-agbanweghị ya.
Kedu nsogbu aghụghọ kernel na-edozi?
Aghụghọ kernel ahụ na-edobe data n'ezoghị ọnụ n'ime oghere nwere akụkụ dị elu ebe oke kwụ ọtọ na-arụ ọrụ, na-eme ka nkewa gbagọrọ agbagọ dị ọnụ ala.
Kedu ihe oke C na-achịkwa na SVM dị nro?
C itule inwe nnukwu oke megide ikwe ụfọdụ njehie ọzụzụ; obere C pụtara oke obosara, nke na-anabatakwa ya.
Kedu kernel a na-ejikarị mepụta oke na-agbanwe agbanwe, gbagọrọ agbagọ?
RBF (Gaussian) kernel bụ ndabara ewu ewu nke na-atụ myirịta dabere na anya, na-enye ohere oke na-adịghị mma.