Ntụziaka nka

Ụdị Markov zoro ezo

Ihe ngosi Markov zoro ezo na-akọwa usoro nke na-agafe na steeti zoro ezo ị na-enweghị ike ịhụ ya ozugbo, na-ewepụta mpụta a na-ahụ anya n'ụzọ.

2 nkeji na-agụEmelitere ikpeazụ

Nchịkọta

It powered early speech recognition, gene finding, and part-of-speech tagging.

Ime miri emi

Ihe Nlereanya Zoro Ezochiri (HMM) na-ewere usoro hops n'etiti steeti zoro ezo ka oge na-aga, ebe steeti na-esote dabere naanị na nke dị ugbu a (ihe onwunwe Markov). Ọ dịghị mgbe ị na-edebe steeti ozugbo; kama steeti ọ bụla na-ewepụta akara a na-ahụ anya dịka ihe gbasara puru omume si dị. A na-akọwa HMM site na iberibe atọ: puru omume steeti mbụ, matriks mgbanwe n'etiti steeti, na ihe gbasara mpụ maka mpụta. Nsogbu atọ kpochapụwo na-aga na ya: nyocha (olee ka ọ ga-esi bụrụ usoro a hụrụ, nke Forward algọridim si dozie ya), ịchọta (ihe zoro ezo ụzọ kacha mma na-akọwa ihe ahụ, edozi site na Viterbi algọridim), na mmụta (na-eme atụmatụ site na data, nke Baum-Welch na-atụ anya-maximization algorithm). Ndị HMM na-achịkwa okwu na ịde aha usoro ruo ọtụtụ iri afọ.

Nghọta nka nka

Isi echiche bụ mmemme na-agbanwe agbanwe ka oge na-aga. Algọridim na-aga n'ihu na-achịkọta ohere nke ụzọ niile na-erute steeti ọ bụla, ebe Viterbi na-edobe otu ụzọ kachasị emetụta, ma n'ime oge nha na steeti-squared ugboro usoro ogologo. Baum-Welch na-agbanwe n'etiti nleba anya na ọnụnọ steeti a na-atụ anya ya nyere paramita dị ugbu a yana nleba anya ngbanwe na ihe puru omume, na-atụgharị ruo mgbe ọ na-agbakọta na mpaghara kacha nke ohere.

Mmetụta atụmatụ

Ọnụ ego na mmefu ego

Mkpebi ihe owuwu ụlọ na-akwalite arụmọrụ yana ọnụ ahịa ọrụ ruo ọtụtụ afọ.

Mkpebi doro anya

Nkà mmụta nka na-enyere ndị otu egwuregwu aka ịhọrọ nchịkọta ziri ezi, ọ bụghị naanị nke kachasị ọhụrụ.

Quality akara

Nhọrọ injinia ka mma na-ebelata ihe omume ntụkwasị obi na mmepụta.

Ọdịnihu nke ụdị Markov zoro ezo

Netwọk na-adịte aka na mgbanwe mgbanwe ejirila HMM dochie HMM maka ikwu okwu na asụsụ n'ihi na ha na-ejide ogologo ogologo oge, dabere na-adabereghị na nke mbụ Markov yinye enweghị ike. N'agbanyeghị HMM na-adị ndụ ebe nkọwa, obere data, na ihe ọmụmụ steeti doro anya dị mkpa: bioinformatics, usoro usoro oge, nchọpụta mmejọ, na ego. Na-atụ anya ka a na-aga n'ihu na-eji ngwakọ na pipeline ngwaọrụ, yana dị ka okwute mgbago n'echiche iji nweta ụdị mgbanaka dị iche iche yana ụdị oghere steeti.

Mmejuputa n'ezie n'ụwa

Mkpado akụkụ-okwu, ịkpọ okwu ọ bụla dị ka aha, ngwaa, ma ọ bụ adjective

Nyocha usoro mkpụrụ ndụ na protein na bioinformatics

Acoustic modeling na kpochapụwo akpaka njirimara sistemụ

Ịchọpụta usoro ma ọ bụ akụkụ na usoro oge ego na ihe mmetụta

Ihe ize ndụ & okporo ụzọ nche

Ịkwalite otu akara ngosi nwere ike zoo adịghị ike sistemụ sara mbara.

A na-eledakarị ihe akụrụngwa na ụgwọ ọrụ anya.

Ọdịiche nchekwa na nleba anya nwere ike itolite ka sistemu na-adịwanye mgbagwoju anya.

Map mmejuputa

1

Kọwaa latency, ịdịmma na ebumnuche ọnụ ahịa tupu mmejuputa ya.

2

Benchmark n'okpuru ibu dị adị na ọnọdụ data.

3

Nleba anya akụrụngwa maka mperi, ịkpafu na mmetụta onye ọrụ.

4

Kwadebe ụzọ nzaghachi azụghachi azụ na ihe omume tupu ịchachaa.

Nọgide na-eme nchọpụta

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Ajụjụ a na-ajụkarị

What is Hidden Markov Models?

Ihe ngosi Markov zoro ezo na-akọwa usoro nke na-agafe na steeti zoro ezo ị na-enweghị ike ịhụ ya ozugbo, na-ewepụta mpụta a na-ahụ anya n'ụzọ. Ọ kwadoro njirimara okwu mmalite, nchọpụta mkpụrụ ndụ ihe nketa, na mkpado akụkụ nke okwu.

Kedu ihe 'zoro ezo' na Model Markov zoro ezo na-ezo aka?

Ị na-ahụ naanị nlebanya pụtara; A na-ezobe usoro n'okpuru ala ma a ga-atụgharịrịrị ya.

Gịnị bụ ihe onwunwe Markov nke HMM weghaara?

Na usoro mbụ Markov yinye, ọdịnihu na-adabere naanị na ọnọdụ dị ugbu a, ọ bụghị akụkọ zuru oke.

Kedu algọridim na-achọpụta otu usoro nke steeti zoro ezo nwere ike ịdị?

Viterbi na-eji mmemme dị ike iji dobe ụzọ kachasị emetụta na steeti ọ bụla, na-eweghachi usoro steeti kachasị mma.

Kedu ụdị atọ nke puru omume na-akọwapụta HMM n'ụzọ zuru ezu?

A na-akọwa HMM site na ebe ọ na-amalite, ka steeti mgbanwe, na ka steeti si ewepụta nleba anya.

Kedu ihe Baum-Welch algọridim na-eme?

Baum-Welch bụ usoro EM nke na-atụgharị ugboro ugboro ngbanwe na ihe gbasara mpụta iji bulie ohere data.