{"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\/vn\/wiki\/multilabel-classification\/","title":{"rendered":"Ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n"},"content":{"rendered":"<p>Ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n \u0111\u1ec1 c\u1eadp \u0111\u1ebfn nhi\u1ec7m v\u1ee5 g\u00e1n m\u1ed9t t\u1eadp h\u1ee3p nh\u00e3n m\u1ee5c ti\u00eau cho m\u1ed9t phi\u00ean b\u1ea3n duy nh\u1ea5t. Kh\u00f4ng gi\u1ed1ng nh\u01b0 ph\u00e2n lo\u1ea1i nhi\u1ec1u l\u1edbp, trong \u0111\u00f3 m\u1ed9t c\u00e1 th\u1ec3 ch\u1ec9 \u0111\u01b0\u1ee3c g\u00e1n cho m\u1ed9t danh m\u1ee5c, ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n cho ph\u00e9p ph\u00e2n lo\u1ea1i \u0111\u1ed3ng th\u1eddi m\u1ed9t c\u00e1 th\u1ec3 th\u00e0nh nhi\u1ec1u danh m\u1ee5c.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean v\u1ec1 n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb \u0111\u1ea7u nh\u1eefng n\u0103m 2000 khi c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u b\u1eaft \u0111\u1ea7u nh\u1eadn ra s\u1ef1 c\u1ea7n thi\u1ebft c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ph\u00e2n lo\u1ea1i linh ho\u1ea1t h\u01a1n trong c\u00e1c l\u0129nh v\u1ef1c nh\u01b0 ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n, nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh v\u00e0 gen. B\u00e0i b\u00e1o \u0111\u1ea7u ti\u00ean \u0111\u01b0\u1ee3c bi\u1ebft \u0111\u1ebfn v\u1ec1 ch\u1ee7 \u0111\u1ec1 n\u00e0y \u0111\u01b0\u1ee3c Schapire v\u00e0 Singer xu\u1ea5t b\u1ea3n n\u0103m 1999, trong \u0111\u00f3 \u0111\u1ec1 xu\u1ea5t m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p m\u1edbi \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c v\u1ea5n \u0111\u1ec1 \u0111a nh\u00e3n hi\u1ec7u, \u0111\u1eb7t n\u1ec1n t\u1ea3ng cho nghi\u00ean c\u1ee9u trong t\u01b0\u01a1ng lai trong l\u0129nh v\u1ef1c n\u00e0y.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>Ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n \u0111\u1eb7c bi\u1ec7t quan tr\u1ecdng trong c\u00e1c \u1ee9ng d\u1ee5ng trong th\u1ebf gi\u1edbi th\u1ef1c kh\u00e1c nhau, n\u01a1i m\u1ed9t \u0111\u1ed1i t\u01b0\u1ee3ng c\u00f3 th\u1ec3 thu\u1ed9c nhi\u1ec1u l\u1edbp ho\u1eb7c danh m\u1ee5c c\u00f9ng m\u1ed9t l\u00fac. N\u00f3 c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u00ecm th\u1ea5y trong:<\/p>\n<ul>\n<li><strong>Ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n:<\/strong> G\u1eafn th\u1ebb b\u00e0i vi\u1ebft ho\u1eb7c b\u00e0i \u0111\u0103ng tr\u00ean blog v\u1edbi nhi\u1ec1u ch\u1ee7 \u0111\u1ec1.<\/li>\n<li><strong>Nh\u1eadn d\u1ea1ng h\u00ecnh \u1ea3nh:<\/strong> X\u00e1c \u0111\u1ecbnh nhi\u1ec1u \u0111\u1ed1i t\u01b0\u1ee3ng trong m\u1ed9t h\u00ecnh \u1ea3nh<\/li>\n<li><strong>Ch\u1ea9n \u0111o\u00e1n y t\u1ebf:<\/strong> Ch\u1ea9n \u0111o\u00e1n b\u1ec7nh nh\u00e2n m\u1eafc nhi\u1ec1u b\u1ec7nh ho\u1eb7c c\u00f3 tri\u1ec7u ch\u1ee9ng.<\/li>\n<li><strong>D\u1ef1 \u0111o\u00e1n ch\u1ee9c n\u0103ng b\u1ed9 gen:<\/strong> Li\u00ean k\u1ebft c\u00e1c gen v\u1edbi nhi\u1ec1u ch\u1ee9c n\u0103ng sinh h\u1ecdc.<\/li>\n<\/ul>\n<h3>Thu\u1eadt to\u00e1n:<\/h3>\n<p>M\u1ed9t s\u1ed1 thu\u1eadt to\u00e1n ph\u1ed5 bi\u1ebfn \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n bao g\u1ed3m:<\/p>\n<ol>\n<li>M\u1ee9c \u0111\u1ed9 li\u00ean quan nh\u1ecb ph\u00e2n<\/li>\n<li>Chu\u1ed7i ph\u00e2n lo\u1ea1i<\/li>\n<li>B\u1ed9 ngu\u1ed3n nh\u00e3n<\/li>\n<li>T\u1eadp nh\u00e3n k ng\u1eabu nhi\u00ean<\/li>\n<li>Nhi\u1ec1u nh\u00e3n k-H\u00e0ng x\u00f3m g\u1ea7n nh\u1ea5t (MLkNN)<\/li>\n<li>M\u1ea1ng th\u1ea7n kinh v\u1edbi c\u00e1c h\u00e0m m\u1ea5t m\u00e1t c\u1ee5 th\u1ec3 cho c\u00e1c v\u1ea5n \u0111\u1ec1 \u0111a nh\u00e3n.<\/li>\n<\/ol>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a Ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n: C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng<\/h2>\n<p>Ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c hi\u1ec3u l\u00e0 m\u1edf r\u1ed9ng c\u00e1c nhi\u1ec7m v\u1ee5 ph\u00e2n lo\u1ea1i truy\u1ec1n th\u1ed1ng b\u1eb1ng c\u00e1ch xem x\u00e9t kh\u00f4ng gian nh\u00e3n l\u00e0 t\u1eadp h\u1ee3p s\u1ee9c m\u1ea1nh c\u1ee7a c\u00e1c l\u1edbp ri\u00eang l\u1ebb.<\/p>\n<ol>\n<li><strong>M\u1ee9c \u0111\u1ed9 li\u00ean quan nh\u1ecb ph\u00e2n:<\/strong> C\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y coi m\u1ed7i nh\u00e3n l\u00e0 m\u1ed9t v\u1ea5n \u0111\u1ec1 ph\u00e2n lo\u1ea1i m\u1ed9t l\u1edbp ri\u00eang bi\u1ec7t.<\/li>\n<li><strong>Chu\u1ed7i ph\u00e2n lo\u1ea1i:<\/strong> Chu\u1ed7i ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng, m\u1ed7i chu\u1ed7i \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n d\u1ef1a tr\u00ean b\u1ed1i c\u1ea3nh c\u1ee7a c\u00e1c d\u1ef1 \u0111o\u00e1n tr\u01b0\u1edbc \u0111\u00f3.<\/li>\n<li><strong>B\u1ed9 ngu\u1ed3n nh\u00e3n:<\/strong> C\u00e1ch ti\u1ebfp c\u1eadn n\u00e0y coi m\u1ed7i t\u1ed5 h\u1ee3p nh\u00e3n duy nh\u1ea5t l\u00e0 m\u1ed9t l\u1edbp duy nh\u1ea5t.<\/li>\n<li><strong>M\u1ea1ng th\u1ea7n kinh:<\/strong> C\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u00f9y ch\u1ec9nh v\u1edbi c\u00e1c h\u00e0m m\u1ea5t m\u00e1t nh\u01b0 entropy ch\u00e9o nh\u1ecb ph\u00e2n \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c t\u00e1c v\u1ee5 \u0111a nh\u00e3n.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/h2>\n<ul>\n<li><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p:<\/strong> \u0110\u1ed9 ph\u1ee9c t\u1ea1p c\u1ee7a m\u00f4 h\u00ecnh t\u0103ng l\u00ean khi s\u1ed1 l\u01b0\u1ee3ng nh\u00e3n t\u0103ng l\u00ean.<\/li>\n<li><strong>S\u1ef1 ph\u1ee5 thu\u1ed9c l\u1eabn nhau:<\/strong> Kh\u00f4ng gi\u1ed1ng nh\u01b0 c\u00e1c b\u00e0i to\u00e1n \u0111a l\u1edbp, c\u00e1c b\u00e0i to\u00e1n \u0111a nh\u00e3n th\u01b0\u1eddng c\u00f3 s\u1ef1 ph\u1ee5 thu\u1ed9c l\u1eabn nhau gi\u1eefa c\u00e1c nh\u00e3n.<\/li>\n<li><strong>S\u1ed1 li\u1ec7u \u0111\u00e1nh gi\u00e1:<\/strong> C\u00e1c s\u1ed1 li\u1ec7u nh\u01b0 \u0111\u1ed9 ch\u00ednh x\u00e1c, thu h\u1ed3i, \u0111i\u1ec3m F1 v\u00e0 m\u1ea5t Hamming th\u01b0\u1eddng \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 \u0111\u00e1nh gi\u00e1 c\u00e1c m\u00f4 h\u00ecnh \u0111a nh\u00e3n.<\/li>\n<li><strong>M\u1ea5t c\u00e2n b\u1eb1ng nh\u00e3n:<\/strong> S\u1ef1 m\u1ea5t c\u00e2n b\u1eb1ng trong s\u1ed1 l\u1ea7n xu\u1ea5t hi\u1ec7n nh\u00e3n c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn c\u00e1c m\u00f4 h\u00ecnh sai l\u1ec7ch.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/h2>\n<p>M\u1ed9t s\u1ed1 chi\u1ebfn l\u01b0\u1ee3c x\u1eed l\u00fd nhi\u1ec7m v\u1ee5 ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n, nh\u01b0 \u0111\u01b0\u1ee3c minh h\u1ecda trong b\u1ea3ng b\u00ean d\u01b0\u1edbi:<\/p>\n<table>\n<thead>\n<tr>\n<th>Chi\u1ebfn l\u01b0\u1ee3c<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>M\u1ee9c \u0111\u1ed9 li\u00ean quan nh\u1ecb ph\u00e2n<\/td>\n<td>X\u1eed l\u00fd m\u1ed7i nh\u00e3n nh\u01b0 m\u1ed9t v\u1ea5n \u0111\u1ec1 ph\u00e2n lo\u1ea1i nh\u1ecb ph\u00e2n \u0111\u1ed9c l\u1eadp<\/td>\n<\/tr>\n<tr>\n<td>Chu\u1ed7i ph\u00e2n lo\u1ea1i<\/td>\n<td>X\u00e2y d\u1ef1ng chu\u1ed7i ph\u00e2n lo\u1ea1i \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n<\/td>\n<\/tr>\n<tr>\n<td>B\u1ed9 ngu\u1ed3n nh\u00e3n<\/td>\n<td>\u00c1nh x\u1ea1 m\u1ecdi k\u1ebft h\u1ee3p nh\u00e3n duy nh\u1ea5t v\u00e0o m\u1ed9t l\u1edbp duy nh\u1ea5t<\/td>\n<\/tr>\n<tr>\n<td>M\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh<\/td>\n<td>S\u1eed d\u1ee5ng ki\u1ebfn tr\u00fac deep learning v\u1edbi c\u00e1c h\u00e0m m\u1ea5t \u0111a nh\u00e3n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n, v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<h3>C\u00f4ng d\u1ee5ng<\/h3>\n<ol>\n<li><strong>G\u1eafn th\u1ebb n\u1ed9i dung:<\/strong> Tr\u00ean c\u00e1c trang web, ph\u01b0\u01a1ng ti\u1ec7n truy\u1ec1n th\u00f4ng v\u00e0 c\u00e1c c\u01a1 quan th\u00f4ng t\u1ea5n.<\/li>\n<li><strong>Ch\u0103m s\u00f3c s\u1ee9c kh\u1ecfe:<\/strong> \u0110\u1ec3 ch\u1ea9n \u0111o\u00e1n v\u00e0 l\u1eadp k\u1ebf ho\u1ea1ch \u0111i\u1ec1u tr\u1ecb.<\/li>\n<li><strong>Th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed:<\/strong> \u0110\u1ec3 ph\u00e2n lo\u1ea1i s\u1ea3n ph\u1ea9m.<\/li>\n<\/ol>\n<h3>V\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h3>\n<ul>\n<li><strong>M\u1ea5t c\u00e2n b\u1eb1ng nh\u00e3n:<\/strong> Gi\u1ea3i quy\u1ebft b\u1eb1ng k\u1ef9 thu\u1eadt l\u1ea5y m\u1eabu l\u1ea1i.<\/li>\n<li><strong>\u0110\u1ed9 ph\u1ee9c t\u1ea1p t\u00ednh to\u00e1n:<\/strong> \u0110\u01b0\u1ee3c qu\u1ea3n l\u00fd b\u1eb1ng c\u00e1ch gi\u1ea3m k\u00edch th\u01b0\u1edbc ho\u1eb7c t\u00ednh to\u00e1n ph\u00e2n t\u00e1n.<\/li>\n<li><strong>T\u01b0\u01a1ng quan nh\u00e3n:<\/strong> S\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 n\u1eafm b\u1eaft \u0111\u01b0\u1ee3c s\u1ef1 ph\u1ee5 thu\u1ed9c c\u1ee7a nh\u00e3n.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 nh\u1eefng so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>T\u00ednh n\u0103ng<\/th>\n<th>Ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/th>\n<th>Ph\u00e2n lo\u1ea1i nhi\u1ec1u l\u1edbp<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>G\u00e1n nh\u00e3n<\/td>\n<td>Nhi\u1ec1u nh\u00e3n<\/td>\n<td>Nh\u00e3n \u0111\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Ph\u1ee5 thu\u1ed9c nh\u00e3n<\/td>\n<td>Th\u01b0\u1eddng c\u00f3 m\u1eb7t<\/td>\n<td>Kh\u00f4ng c\u00f3 m\u1eb7t<\/td>\n<\/tr>\n<tr>\n<td>\u0110\u1ed9 ph\u1ee9c t\u1ea1p<\/td>\n<td>Cao h\u01a1n<\/td>\n<td>Th\u1ea5p h\u01a1n<\/td>\n<\/tr>\n<tr>\n<td>Thu\u1eadt to\u00e1n chung<\/td>\n<td>MLkNN, M\u1ee9c \u0111\u1ed9 li\u00ean quan nh\u1ecb ph\u00e2n<\/td>\n<td>SVM, h\u1ed3i quy logistic<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a vi\u1ec7c ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n r\u1ea5t h\u1ee9a h\u1eb9n v\u1edbi vi\u1ec7c ti\u1ebfp t\u1ee5c nghi\u00ean c\u1ee9u trong c\u00e1c l\u0129nh v\u1ef1c:<\/p>\n<ul>\n<li>K\u1ef9 thu\u1eadt Deep Learning \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf ri\u00eang cho c\u00e1c nhi\u1ec7m v\u1ee5 \u0111a nh\u00e3n.<\/li>\n<li>X\u1eed l\u00fd hi\u1ec7u qu\u1ea3 d\u1eef li\u1ec7u c\u00f3 quy m\u00f4 l\u1edbn v\u00e0 nhi\u1ec1u chi\u1ec1u.<\/li>\n<li>C\u00e1c ph\u01b0\u01a1ng ph\u00e1p th\u00edch \u1ee9ng \u0111\u1ec3 x\u1eed l\u00fd kh\u00f4ng gian nh\u00e3n \u0111ang ph\u00e1t tri\u1ec3n.<\/li>\n<li>T\u00edch h\u1ee3p v\u1edbi h\u1ecdc t\u1eadp kh\u00f4ng gi\u00e1m s\u00e1t cho c\u00e1c m\u00f4 h\u00ecnh m\u1ea1nh m\u1ebd h\u01a1n.<\/li>\n<\/ul>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/h2>\n<p>C\u00e1c m\u00e1y ch\u1ee7 proxy nh\u01b0 OneProxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 trong c\u00e1c t\u00e1c v\u1ee5 ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong qu\u00e1 tr\u00ecnh qu\u00e9t web ho\u1eb7c thu th\u1eadp d\u1eef li\u1ec7u.<\/p>\n<ul>\n<li><strong>\u1ea8n danh d\u1eef li\u1ec7u:<\/strong> M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u \u1ea9n danh, b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0.<\/li>\n<li><strong>Ti\u1ebfn tr\u00ecnh song song:<\/strong> Vi\u1ec7c ph\u00e2n ph\u1ed1i y\u00eau c\u1ea7u tr\u00ean c\u00e1c proxy kh\u00e1c nhau c\u00f3 th\u1ec3 t\u0103ng t\u1ed1c \u0111\u1ed9 thu th\u1eadp d\u1eef li\u1ec7u cho c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o.<\/li>\n<li><strong>Ph\u1ea1m vi to\u00e0n c\u1ea7u:<\/strong> Proxy cho ph\u00e9p thu th\u1eadp d\u1eef li\u1ec7u theo v\u00f9ng c\u1ee5 th\u1ec3, cho ph\u00e9p c\u00e1c t\u1eadp hu\u1ea5n luy\u1ec7n \u0111a d\u1ea1ng v\u00e0 s\u1eafc th\u00e1i h\u01a1n.<\/li>\n<\/ul>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<ol>\n<li><a href=\"http:\/\/link-to-paper.com\" target=\"_new\" rel=\"noopener nofollow\">B\u00e0i vi\u1ebft c\u1ee7a Schapire v\u00e0 Singer v\u1ec1 ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n<\/a><\/li>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/multiclass.html\" target=\"_new\" rel=\"noopener nofollow\">H\u01b0\u1edbng d\u1eabn ph\u00e2n lo\u1ea1i nhi\u1ec1u nh\u00e3n c\u1ee7a Scikit-Learn<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/vn\/guide-to-proxy-use-in-ml\/\" target=\"_new\" rel=\"noopener\">H\u01b0\u1edbng d\u1eabn c\u1ee7a OneProxy v\u1ec1 c\u00e1ch s\u1eed d\u1ee5ng proxy trong h\u1ecdc m\u00e1y<\/a><\/li>\n<\/ol>\n<p>B\u1eb1ng c\u00e1ch \u0111i s\u00e2u v\u00e0o s\u1ef1 ph\u1ee9c t\u1ea1p, ph\u01b0\u01a1ng ph\u00e1p, \u1ee9ng d\u1ee5ng v\u00e0 h\u01b0\u1edbng \u0111i trong t\u01b0\u01a1ng lai c\u1ee7a ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n, ng\u01b0\u1eddi ta th\u1ea5y r\u00f5 l\u0129nh v\u1ef1c n\u00e0y quan tr\u1ecdng v\u00e0 \u0111ang ph\u00e1t tri\u1ec3n nh\u01b0 th\u1ebf n\u00e0o. Vai tr\u00f2 c\u1ee7a c\u00e1c m\u00e1y ch\u1ee7 proxy nh\u01b0 OneProxy trong vi\u1ec7c t\u0103ng c\u01b0\u1eddng thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u00e0m phong ph\u00fa th\u00eam b\u1ed1i c\u1ea3nh nhi\u1ec1u m\u1eb7t c\u1ee7a ph\u00e2n lo\u1ea1i \u0111a nh\u00e3n.<\/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\/vn\/wp-json\/wp\/v2\/wiki\/478078","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/478078\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/468953"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=478078"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}