{"id":478078,"date":"2023-08-09T09:27:06","date_gmt":"2023-08-09T09:27:06","guid":{"rendered":""},"modified":"2023-09-05T11:16:01","modified_gmt":"2023-09-05T11:16:01","slug":"multilabel-classification","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/multilabel-classification\/","title":{"rendered":"\u00c7oklu etiket s\u0131n\u0131fland\u0131rmas\u0131"},"content":{"rendered":"<p>\u00c7oklu etiket s\u0131n\u0131fland\u0131rmas\u0131, bir dizi hedef etiketi tek bir \u00f6rne\u011fe atama g\u00f6revini ifade eder. Bir \u00f6rne\u011fin yaln\u0131zca bir kategoriye atand\u0131\u011f\u0131 \u00e7ok s\u0131n\u0131fl\u0131 s\u0131n\u0131fland\u0131rman\u0131n aksine, \u00e7ok etiketli s\u0131n\u0131fland\u0131rma, bir \u00f6rne\u011fin ayn\u0131 anda birden fazla kategoriye s\u0131n\u0131fland\u0131r\u0131lmas\u0131na olanak tan\u0131r.<\/p>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rman\u0131n K\u00f6keninin Tarihi ve \u0130lk S\u00f6z\u00fc<\/h2>\n<p>\u00c7ok etiketli s\u0131n\u0131fland\u0131rma kavram\u0131n\u0131n k\u00f6keni, ara\u015ft\u0131rmac\u0131lar\u0131n metin kategorizasyonu, g\u00f6r\u00fcnt\u00fc tan\u0131ma ve genomik gibi alanlarda daha esnek s\u0131n\u0131fland\u0131rma modellerine olan ihtiyac\u0131 fark etmeye ba\u015flad\u0131\u011f\u0131 2000&#039;li y\u0131llar\u0131n ba\u015flar\u0131na kadar uzanabilir. Konuyla ilgili bilinen ilk makale 1999 y\u0131l\u0131nda Schapire ve Singer taraf\u0131ndan yay\u0131nland\u0131; bu makale, \u00e7ok etiketli sorunlar\u0131n \u00e7\u00f6z\u00fcm\u00fc i\u00e7in yeni bir y\u00f6ntem \u00f6nererek alanda gelecekteki ara\u015ft\u0131rmalara temel olu\u015fturdu.<\/p>\n<h2>\u00c7oklu Etiket S\u0131n\u0131fland\u0131rmas\u0131 Hakk\u0131nda Detayl\u0131 Bilgi: Konuyu Geni\u015fletmek<\/h2>\n<p>\u00c7oklu etiket s\u0131n\u0131fland\u0131rmas\u0131, bir nesnenin ayn\u0131 anda birden fazla s\u0131n\u0131fa veya kategoriye ait olabildi\u011fi \u00e7e\u015fitli ger\u00e7ek d\u00fcnya uygulamalar\u0131nda \u00f6zellikle hayati \u00f6neme sahiptir. \u015euralarda bulunabilir:<\/p>\n<ul>\n<li><strong>Metin Kategorizasyonu:<\/strong> Birden fazla konuyla ilgili makaleleri veya blog g\u00f6nderilerini etiketlemek.<\/li>\n<li><strong>G\u00f6r\u00fcnt\u00fc Tan\u0131ma:<\/strong> Bir g\u00f6r\u00fcnt\u00fcdeki birden fazla nesneyi tan\u0131mlama.<\/li>\n<li><strong>T\u0131bbi te\u015fhis:<\/strong> Birden fazla hastal\u0131\u011f\u0131 veya semptomu olan hastalar\u0131n te\u015fhisi.<\/li>\n<li><strong>Genomik Fonksiyon Tahmini:<\/strong> Genlerin \u00e7oklu biyolojik i\u015flevlerle ili\u015fkilendirilmesi.<\/li>\n<\/ul>\n<h3>Algoritmalar:<\/h3>\n<p>\u00c7ok etiketli s\u0131n\u0131fland\u0131rma i\u00e7in kullan\u0131lan baz\u0131 yayg\u0131n algoritmalar \u015funlar\u0131 i\u00e7erir:<\/p>\n<ol>\n<li>\u0130kili \u0130li\u015fki<\/li>\n<li>S\u0131n\u0131fland\u0131r\u0131c\u0131 Zincirleri<\/li>\n<li>Etiket G\u00fc\u00e7 Seti<\/li>\n<li>Rastgele k-Etiket K\u00fcmeleri<\/li>\n<li>\u00c7ok etiketli k-En Yak\u0131n Kom\u015fular (MLkNN)<\/li>\n<li>\u00c7ok etiketli problemler i\u00e7in \u00f6zel kay\u0131p fonksiyonlar\u0131na sahip Sinir A\u011flar\u0131.<\/li>\n<\/ol>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rman\u0131n \u0130\u00e7 Yap\u0131s\u0131: Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n<p>\u00c7oklu etiket s\u0131n\u0131fland\u0131rmas\u0131, bireysel s\u0131n\u0131flar\u0131n g\u00fc\u00e7 k\u00fcmesi olan bir etiket alan\u0131 dikkate al\u0131narak geleneksel s\u0131n\u0131fland\u0131rma g\u00f6revlerinin geni\u015fletilmesi olarak anla\u015f\u0131labilir.<\/p>\n<ol>\n<li><strong>\u0130kili Alaka D\u00fczeyi:<\/strong> Bu yakla\u015f\u0131m, her etiketi ayr\u0131 bir tek s\u0131n\u0131f s\u0131n\u0131fland\u0131rma problemi olarak ele al\u0131r.<\/li>\n<li><strong>S\u0131n\u0131fland\u0131r\u0131c\u0131 Zincirleri:<\/strong> Her biri \u00f6nceki tahminler ba\u011flam\u0131nda bir tahmin yapan ikili s\u0131n\u0131fland\u0131r\u0131c\u0131 zincirleri olu\u015fturulur.<\/li>\n<li><strong>Etiket G\u00fc\u00e7 Seti:<\/strong> Bu yakla\u015f\u0131m, her benzersiz etiket kombinasyonunu tek bir s\u0131n\u0131f olarak kabul eder.<\/li>\n<li><strong>N\u00f6ral a\u011flar:<\/strong> Derin \u00f6\u011frenme modelleri, \u00e7oklu etiket g\u00f6revlerini yerine getirmek i\u00e7in ikili \u00e7apraz entropi gibi kay\u0131p fonksiyonlar\u0131yla \u00f6zelle\u015ftirilebilir.<\/li>\n<\/ol>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rman\u0131n Temel \u00d6zelliklerinin Analizi<\/h2>\n<ul>\n<li><strong>Karma\u015f\u0131kl\u0131k:<\/strong> Etiket say\u0131s\u0131 artt\u0131k\u00e7a modelin karma\u015f\u0131kl\u0131\u011f\u0131 da artar.<\/li>\n<li><strong>Kar\u015f\u0131l\u0131kl\u0131 ba\u011f\u0131ml\u0131l\u0131k:<\/strong> \u00c7ok s\u0131n\u0131fl\u0131 problemlerin aksine, \u00e7ok etiketli problemlerde genellikle etiketler aras\u0131nda kar\u015f\u0131l\u0131kl\u0131 ba\u011f\u0131ml\u0131l\u0131k vard\u0131r.<\/li>\n<li><strong>De\u011ferlendirme Metrikleri:<\/strong> Hassasiyet, geri \u00e7a\u011f\u0131rma, F1 puan\u0131 ve Hamming kayb\u0131 gibi \u00f6l\u00e7\u00fcmler, \u00e7ok etiketli modelleri de\u011ferlendirmek i\u00e7in yayg\u0131n olarak kullan\u0131l\u0131r.<\/li>\n<li><strong>Etiket Dengesizli\u011fi:<\/strong> Etiket olu\u015fumlar\u0131ndaki dengesizlik tarafl\u0131 modellere yol a\u00e7abilir.<\/li>\n<\/ul>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rma T\u00fcrleri<\/h2>\n<p>A\u015fa\u011f\u0131daki tabloda g\u00f6sterildi\u011fi gibi, \u00e7ok etiketli s\u0131n\u0131fland\u0131rma g\u00f6revini \u00e7e\u015fitli stratejiler yerine getirir:<\/p>\n<table>\n<thead>\n<tr>\n<th>Strateji<\/th>\n<th>Tan\u0131m<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0130kili \u0130li\u015fki<\/td>\n<td>Her etiketi ba\u011f\u0131ms\u0131z bir ikili s\u0131n\u0131fland\u0131rma problemi olarak ele al\u0131r<\/td>\n<\/tr>\n<tr>\n<td>S\u0131n\u0131fland\u0131r\u0131c\u0131 Zincirleri<\/td>\n<td>Tahminler i\u00e7in bir s\u0131n\u0131fland\u0131r\u0131c\u0131 zinciri olu\u015fturur<\/td>\n<\/tr>\n<tr>\n<td>Etiket G\u00fc\u00e7 Seti<\/td>\n<td>Her benzersiz etiket kombinasyonunu tek bir s\u0131n\u0131fa e\u015fler<\/td>\n<\/tr>\n<tr>\n<td>N\u00f6ral a\u011flar<\/td>\n<td>\u00c7oklu etiket kayb\u0131 i\u015flevleriyle derin \u00f6\u011frenme mimarilerini kullan\u0131r<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rmay\u0131 Kullanma Yollar\u0131, Sorunlar ve \u00c7\u00f6z\u00fcmleri<\/h2>\n<h3>Kullan\u0131m Alanlar\u0131<\/h3>\n<ol>\n<li><strong>\u0130\u00e7erik Etiketleme:<\/strong> Web sitelerinde, medyada ve haber ajanslar\u0131nda.<\/li>\n<li><strong>Sa\u011fl\u0131k hizmeti:<\/strong> Te\u015fhis ve tedavi planlamas\u0131 i\u00e7in.<\/li>\n<li><strong>E-ticaret:<\/strong> \u00dcr\u00fcn kategorizasyonu i\u00e7in.<\/li>\n<\/ol>\n<h3>Sorunlar ve \u00c7\u00f6z\u00fcmler<\/h3>\n<ul>\n<li><strong>Etiket Dengesizli\u011fi:<\/strong> Yeniden \u00f6rnekleme teknikleri ile ele al\u0131nm\u0131\u015ft\u0131r.<\/li>\n<li><strong>Hesaplamal\u0131 Karma\u015f\u0131kl\u0131k:<\/strong> Boyut azaltma veya da\u011f\u0131t\u0131lm\u0131\u015f hesaplama ile y\u00f6netilir.<\/li>\n<li><strong>Etiket Korelasyonlar\u0131:<\/strong> Etiket ba\u011f\u0131ml\u0131l\u0131klar\u0131n\u0131 yakalayabilen modellerin kullan\u0131lmas\u0131.<\/li>\n<\/ul>\n<h2>Ana \u00d6zellikler ve Benzer Terimlerle Di\u011fer Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u00d6zellik<\/th>\n<th>\u00c7oklu Etiket S\u0131n\u0131fland\u0131rmas\u0131<\/th>\n<th>\u00c7ok S\u0131n\u0131fl\u0131 S\u0131n\u0131fland\u0131rma<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Etiket Atamas\u0131<\/td>\n<td>\u00c7oklu etiketler<\/td>\n<td>Tek etiket<\/td>\n<\/tr>\n<tr>\n<td>Etiket Ba\u011f\u0131ml\u0131l\u0131\u011f\u0131<\/td>\n<td>S\u0131kl\u0131kla mevcut<\/td>\n<td>Mevcut de\u011fil<\/td>\n<\/tr>\n<tr>\n<td>Karma\u015f\u0131kl\u0131k<\/td>\n<td>Daha y\u00fcksek<\/td>\n<td>Daha d\u00fc\u015f\u00fck<\/td>\n<\/tr>\n<tr>\n<td>Ortak Algoritmalar<\/td>\n<td>MLkNN, \u0130kili \u0130li\u015fki<\/td>\n<td>SVM, Lojistik Regresyon<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u00c7ok Etiketli S\u0131n\u0131fland\u0131rmaya \u0130li\u015fkin Gelece\u011fin Perspektifleri ve Teknolojileri<\/h2>\n<p>\u00c7ok etiketli s\u0131n\u0131fland\u0131rman\u0131n gelece\u011fi, a\u015fa\u011f\u0131daki alanlarda devam eden ara\u015ft\u0131rmalarla umut vericidir:<\/p>\n<ul>\n<li>\u00c7ok etiketli g\u00f6revler i\u00e7in \u00f6zel olarak tasarlanm\u0131\u015f Derin \u00d6\u011frenme teknikleri.<\/li>\n<li>B\u00fcy\u00fck \u00f6l\u00e7ekli ve y\u00fcksek boyutlu verilerin verimli \u015fekilde i\u015flenmesi.<\/li>\n<li>Geli\u015fen etiket alanlar\u0131n\u0131 y\u00f6netmek i\u00e7in uyarlanabilir y\u00f6ntemler.<\/li>\n<li>Daha sa\u011flam modeller i\u00e7in denetimsiz \u00f6\u011frenmeyle entegrasyon.<\/li>\n<\/ul>\n<h2>Proxy Sunucular\u0131 Nas\u0131l Kullan\u0131labilir veya \u00c7ok Etiketli S\u0131n\u0131fland\u0131rmayla Nas\u0131l \u0130li\u015fkilendirilebilir?<\/h2>\n<p>OneProxy gibi proxy sunucular, \u00f6zellikle web kaz\u0131ma veya veri toplama s\u00fcre\u00e7lerinde \u00e7ok etiketli s\u0131n\u0131fland\u0131rma g\u00f6revlerinde rol oynayabilir.<\/p>\n<ul>\n<li><strong>Veri Anonimle\u015ftirme:<\/strong> Proxy sunucular\u0131, gizlili\u011fi koruyarak verileri anonim olarak toplamak i\u00e7in kullan\u0131labilir.<\/li>\n<li><strong>Paralel \u0130\u015fleme:<\/strong> \u0130stekleri farkl\u0131 proxy&#039;lere da\u011f\u0131tmak, e\u011fitim modelleri i\u00e7in veri toplamay\u0131 h\u0131zland\u0131rabilir.<\/li>\n<li><strong>Global eri\u015fim:<\/strong> Proxy&#039;ler b\u00f6lgeye \u00f6zg\u00fc verilerin toplanmas\u0131n\u0131 sa\u011flayarak daha ayr\u0131nt\u0131l\u0131 ve \u00e7e\u015fitli e\u011fitim setlerine olanak tan\u0131r.<\/li>\n<\/ul>\n<h2>\u0130lgili Ba\u011flant\u0131lar<\/h2>\n<ol>\n<li><a href=\"http:\/\/link-to-paper.com\" target=\"_new\" rel=\"noopener nofollow\">Schapire ve Singer&#039;in \u00e7ok etiketli s\u0131n\u0131fland\u0131rma hakk\u0131ndaki makalesi<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/multiclass.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-Learn&#039;in \u00e7ok etiketli s\u0131n\u0131fland\u0131rma k\u0131lavuzu<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/tr\/guide-to-proxy-use-in-ml\/\" target=\"_new\" rel=\"noopener\">OneProxy&#039;nin Makine \u00d6\u011freniminde Proxy Kullan\u0131m\u0131 K\u0131lavuzu<\/a><\/li>\n<\/ol>\n<p>\u00c7ok etiketli s\u0131n\u0131fland\u0131rman\u0131n karma\u015f\u0131kl\u0131\u011f\u0131n\u0131, y\u00f6ntemlerini, uygulamalar\u0131n\u0131 ve gelecekteki y\u00f6nlerini inceleyerek bu alan\u0131n ne kadar hayati ve geli\u015fmekte oldu\u011fu ortaya \u00e7\u0131k\u0131yor. OneProxy gibi proxy sunucular\u0131n veri toplama ve analizini geli\u015ftirmedeki rol\u00fc, \u00e7ok etiketli s\u0131n\u0131fland\u0131rman\u0131n \u00e7ok y\u00f6nl\u00fc yap\u0131s\u0131n\u0131 daha da zenginle\u015ftirir.<\/p>","protected":false},"featured_media":468953,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478078","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Multilabel Classification<\/mark>","faq_items":[{"question":"What is Multilabel Classification?","answer":"<p>Multilabel classification refers to the task of categorizing instances into multiple labels simultaneously. It differs from multiclass classification, where an instance is assigned to only one category.<\/p>"},{"question":"What is the History of Multilabel Classification?","answer":"<p>Multilabel classification originated in the early 2000s, with the first known paper on the subject published by Schapire and Singer in 1999. This paper laid the groundwork for future research in the area.<\/p>"},{"question":"How Does Multilabel Classification Work?","answer":"<p>Multilabel classification works by assigning multiple target labels to a single instance. Different algorithms like Binary Relevance, Classifier Chains, Label Powerset, and customized Neural Networks are used to accomplish this task.<\/p>"},{"question":"What Are the Key Features of Multilabel Classification?","answer":"<p>The key features of multilabel classification include its complexity due to multiple labels, potential interdependencies between labels, specific evaluation metrics such as precision and recall, and the challenge of label imbalance.<\/p>"},{"question":"What Types of Multilabel Classification Exist?","answer":"<p>Several strategies handle the multilabel classification task, including Binary Relevance, Classifier Chains, Label Powerset, and Neural Networks designed specifically for multilabel problems.<\/p>"},{"question":"How Is Multilabel Classification Used and What Are the Associated Problems and Solutions?","answer":"<p>Multilabel classification is used in content tagging, healthcare, e-commerce, and other areas. Problems can include label imbalance, computational complexity, and label correlations. These can be addressed through resampling, dimensionality reduction, and utilizing models that capture label dependencies.<\/p>"},{"question":"How Does Multilabel Classification Compare to Multiclass Classification?","answer":"<p>While multilabel classification allows for multiple labels for a single instance and often has label dependencies, multiclass classification assigns only a single label to each instance and does not consider label dependencies.<\/p>"},{"question":"What Are the Future Perspectives and Technologies Related to Multilabel Classification?","answer":"<p>The future of multilabel classification is bright, with ongoing research in deep learning techniques, efficient handling of large-scale data, adaptive methods for evolving label spaces, and integration with unsupervised learning.<\/p>"},{"question":"How Can Proxy Servers Like OneProxy Be Associated with Multilabel Classification?","answer":"<p>Proxy servers like OneProxy can be used in multilabel classification tasks for data anonymization, parallel processing, and global reach in data collection. They facilitate web scraping or data collection processes, contributing to more effective model training.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478078","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478078\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/468953"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=478078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}