{"id":475797,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:14","modified_gmt":"2023-09-05T11:11:14","slug":"active-learning","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/active-learning\/","title":{"rendered":"H\u1ecdc t\u1eadp t\u00edch c\u1ef1c"},"content":{"rendered":"<p>H\u1ecdc t\u00edch c\u1ef1c l\u00e0 m\u1ed9t m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y h\u1ed7 tr\u1ee3 c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc t\u1eadp hi\u1ec7u qu\u1ea3 v\u1edbi l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n t\u1ed1i thi\u1ec3u. Kh\u00f4ng gi\u1ed1ng nh\u01b0 h\u1ecdc c\u00f3 gi\u00e1m s\u00e1t truy\u1ec1n th\u1ed1ng, n\u01a1i c\u1ea7n c\u00f3 c\u00e1c b\u1ed9 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n l\u1edbn \u0111\u1ec3 \u0111\u00e0o t\u1ea1o, h\u1ecdc t\u00edch c\u1ef1c cho ph\u00e9p c\u00e1c thu\u1eadt to\u00e1n truy v\u1ea5n t\u01b0\u01a1ng t\u00e1c c\u00e1c tr\u01b0\u1eddng h\u1ee3p kh\u00f4ng \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n m\u00e0 ch\u00fang cho l\u00e0 c\u00f3 nhi\u1ec1u th\u00f4ng tin nh\u1ea5t \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t c\u1ee7a ch\u00fang. B\u1eb1ng c\u00e1ch ch\u1ecdn c\u00e1c m\u1eabu c\u00f3 gi\u00e1 tr\u1ecb nh\u1ea5t \u0111\u1ec3 ch\u00fa th\u00edch, h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 gi\u1ea3m \u0111\u00e1ng k\u1ec3 g\u00e1nh n\u1eb7ng ghi nh\u00e3n trong khi v\u1eabn \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u1ed9 ch\u00ednh x\u00e1c c\u1ea1nh tranh.<\/p>\n<h2>L\u1ecbch s\u1eed ngu\u1ed3n g\u1ed1c c\u1ee7a h\u1ecdc t\u1eadp t\u00edch c\u1ef1c v\u00e0 s\u1ef1 \u0111\u1ec1 c\u1eadp \u0111\u1ea7u ti\u00ean c\u1ee7a n\u00f3<\/h2>\n<p>Kh\u00e1i ni\u1ec7m h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 b\u1eaft ngu\u1ed3n t\u1eeb nghi\u00ean c\u1ee9u h\u1ecdc m\u00e1y ban \u0111\u1ea7u, nh\u01b0ng vi\u1ec7c ch\u00ednh th\u1ee9c h\u00f3a n\u00f3 \u0111\u00e3 \u0111\u1ea1t \u0111\u01b0\u1ee3c \u0111\u00e0 ph\u00e1t tri\u1ec3n v\u00e0o cu\u1ed1i nh\u1eefng n\u0103m 1990. M\u1ed9t trong nh\u1eefng \u0111\u1ec1 c\u1eadp s\u1edbm nh\u1ea5t v\u1ec1 h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c t\u00ecm th\u1ea5y trong b\u00e0i b\u00e1o c\u00f3 t\u1ef1a \u0111\u1ec1 \u201cTruy v\u1ea5n c\u1ee7a \u1ee6y ban\u201d c\u1ee7a David D. Lewis v\u00e0 William A. Gale v\u00e0o n\u0103m 1994. C\u00e1c t\u00e1c gi\u1ea3 \u0111\u00e3 \u0111\u1ec1 xu\u1ea5t m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p ch\u1ecdn c\u00e1c m\u1eabu kh\u00f4ng ch\u1eafc ch\u1eafn v\u00e0 ch\u00fa th\u00edch ch\u00fang th\u00f4ng qua nhi\u1ec1u m\u00f4 h\u00ecnh, \u0111\u01b0\u1ee3c \u0111\u1ec1 c\u1eadp \u0111\u1ebfn. v\u1edbi t\u01b0 c\u00e1ch l\u00e0 m\u1ed9t \u201c\u1ee7y ban\u201d.<\/p>\n<h2>Th\u00f4ng tin chi ti\u1ebft v\u1ec1 Active Learning: M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1<\/h2>\n<p>H\u1ecdc t\u00edch c\u1ef1c ho\u1ea1t \u0111\u1ed9ng d\u1ef1a tr\u00ean nguy\u00ean t\u1eafc m\u1ed9t s\u1ed1 m\u1eabu kh\u00f4ng \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n s\u1ebd cung c\u1ea5p nhi\u1ec1u th\u00f4ng tin h\u01a1n khi \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n. Thu\u1eadt to\u00e1n l\u1eb7p \u0111i l\u1eb7p l\u1ea1i vi\u1ec7c ch\u1ecdn c\u00e1c m\u1eabu nh\u01b0 v\u1eady, k\u1ebft h\u1ee3p nh\u00e3n c\u1ee7a ch\u00fang v\u00e0o t\u1eadp hu\u1ea5n luy\u1ec7n v\u00e0 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh. B\u1eb1ng c\u00e1ch t\u00edch c\u1ef1c tham gia v\u00e0o qu\u00e1 tr\u00ecnh h\u1ecdc t\u1eadp, m\u00f4 h\u00ecnh s\u1ebd tr\u1edf n\u00ean hi\u1ec7u qu\u1ea3 h\u01a1n, ti\u1ebft ki\u1ec7m chi ph\u00ed h\u01a1n v\u00e0 x\u1eed l\u00fd th\u00e0nh th\u1ea1o c\u00e1c nhi\u1ec7m v\u1ee5 ph\u1ee9c t\u1ea1p h\u01a1n.<\/p>\n<h2>C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a H\u1ecdc t\u1eadp t\u00edch c\u1ef1c: N\u00f3 ho\u1ea1t \u0111\u1ed9ng nh\u01b0 th\u1ebf n\u00e0o<\/h2>\n<p>C\u1ed1t l\u00f5i c\u1ee7a h\u1ecdc t\u1eadp t\u00edch c\u1ef1c bao g\u1ed3m m\u1ed9t quy tr\u00ecnh l\u1ea5y m\u1eabu \u0111\u1ed9ng nh\u1eb1m x\u00e1c \u0111\u1ecbnh c\u00e1c \u0111i\u1ec3m d\u1eef li\u1ec7u c\u00f3 th\u1ec3 gi\u00fap m\u00f4 h\u00ecnh h\u1ecdc hi\u1ec7u qu\u1ea3 h\u01a1n. C\u00e1c b\u01b0\u1edbc trong quy tr\u00ecnh h\u1ecdc t\u1eadp t\u00edch c\u1ef1c th\u01b0\u1eddng bao g\u1ed3m:<\/p>\n<ol>\n<li><strong>\u0110\u00e0o t\u1ea1o m\u00f4 h\u00ecnh ban \u0111\u1ea7u<\/strong>: B\u1eaft \u0111\u1ea7u b\u1eb1ng c\u00e1ch hu\u1ea5n luy\u1ec7n m\u00f4 h\u00ecnh tr\u00ean m\u1ed9t t\u1eadp d\u1eef li\u1ec7u c\u00f3 nh\u00e3n nh\u1ecf.<\/li>\n<li><strong>\u0110o l\u01b0\u1eddng \u0111\u1ed9 kh\u00f4ng \u0111\u1ea3m b\u1ea3o<\/strong>: \u0110\u00e1nh gi\u00e1 \u0111\u1ed9 kh\u00f4ng ch\u1eafc ch\u1eafn trong d\u1ef1 \u0111o\u00e1n c\u1ee7a m\u00f4 h\u00ecnh \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh c\u00e1c m\u1eabu c\u00f3 nh\u00e3n m\u01a1 h\u1ed3 ho\u1eb7c \u0111\u1ed9 tin c\u1eady th\u1ea5p.<\/li>\n<li><strong>Ch\u1ecdn m\u1eabu<\/strong>: Ch\u1ecdn c\u00e1c m\u1eabu t\u1eeb nh\u00f3m kh\u00f4ng \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n d\u1ef1a tr\u00ean \u0111i\u1ec3m s\u1ed1 kh\u00f4ng ch\u1eafc ch\u1eafn c\u1ee7a ch\u00fang ho\u1eb7c c\u00e1c th\u01b0\u1edbc \u0111o th\u00f4ng tin kh\u00e1c.<\/li>\n<li><strong>Ch\u00fa th\u00edch d\u1eef li\u1ec7u<\/strong>: L\u1ea5y nh\u00e3n cho c\u00e1c m\u1eabu \u0111\u00e3 ch\u1ecdn th\u00f4ng qua chuy\u00ean gia con ng\u01b0\u1eddi ho\u1eb7c c\u00e1c ph\u01b0\u01a1ng ph\u00e1p ghi nh\u00e3n kh\u00e1c.<\/li>\n<li><strong>C\u1eadp nh\u1eadt m\u1eabu<\/strong>: K\u1ebft h\u1ee3p d\u1eef li\u1ec7u m\u1edbi \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n v\u00e0o t\u1eadp hu\u1ea5n luy\u1ec7n v\u00e0 c\u1eadp nh\u1eadt m\u00f4 h\u00ecnh.<\/li>\n<li><strong>L\u1eb7p l\u1ea1i<\/strong>: L\u1eb7p l\u1ea1i quy tr\u00ecnh cho \u0111\u1ebfn khi m\u00f4 h\u00ecnh \u0111\u1ea1t \u0111\u01b0\u1ee3c hi\u1ec7u su\u1ea5t mong mu\u1ed1n ho\u1eb7c \u0111\u00e3 h\u1ebft ng\u00e2n s\u00e1ch ghi nh\u00e3n.<\/li>\n<\/ol>\n<h2>Ph\u00e2n t\u00edch c\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/h2>\n<p>H\u1ecdc t\u1eadp t\u00edch c\u1ef1c mang l\u1ea1i m\u1ed9t s\u1ed1 l\u1ee3i \u00edch kh\u00e1c bi\u1ec7t so v\u1edbi h\u1ecdc t\u1eadp c\u00f3 gi\u00e1m s\u00e1t truy\u1ec1n th\u1ed1ng:<\/p>\n<ul>\n<li><strong>Hi\u1ec7u qu\u1ea3 nh\u00e3n<\/strong>: H\u1ecdc t\u00edch c\u1ef1c l\u00e0m gi\u1ea3m \u0111\u00e1ng k\u1ec3 s\u1ed1 l\u01b0\u1ee3ng phi\u00ean b\u1ea3n \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n c\u1ea7n thi\u1ebft cho vi\u1ec7c \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh, khi\u1ebfn n\u00f3 ph\u00f9 h\u1ee3p v\u1edbi c\u00e1c t\u00ecnh hu\u1ed1ng m\u00e0 vi\u1ec7c g\u1eafn nh\u00e3n t\u1ed1n k\u00e9m ho\u1eb7c t\u1ed1n th\u1eddi gian.<\/li>\n<li><strong>C\u1ea3i thi\u1ec7n kh\u00e1i qu\u00e1t h\u00f3a<\/strong>: B\u1eb1ng c\u00e1ch t\u1eadp trung v\u00e0o c\u00e1c m\u1eabu th\u00f4ng tin, h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn c\u00e1c m\u00f4 h\u00ecnh c\u00f3 kh\u1ea3 n\u0103ng kh\u00e1i qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n, \u0111\u1eb7c bi\u1ec7t trong c\u00e1c t\u00ecnh hu\u1ed1ng c\u00f3 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n h\u1ea1n ch\u1ebf.<\/li>\n<li><strong>Kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng<\/strong>: H\u1ecdc t\u00edch c\u1ef1c c\u00f3 kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng v\u1edbi c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y kh\u00e1c nhau, gi\u00fap n\u00f3 c\u00f3 th\u1ec3 \u00e1p d\u1ee5ng cho c\u00e1c l\u0129nh v\u1ef1c v\u00e0 nhi\u1ec7m v\u1ee5 kh\u00e1c nhau.<\/li>\n<li><strong>Gi\u1ea3m chi ph\u00ed<\/strong>: Vi\u1ec7c gi\u1ea3m c\u00e1c y\u00eau c\u1ea7u v\u1ec1 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n tr\u1ef1c ti\u1ebfp gi\u00fap ti\u1ebft ki\u1ec7m chi ph\u00ed, \u0111\u1eb7c bi\u1ec7t khi c\u00e1c t\u1eadp d\u1eef li\u1ec7u l\u1edbn c\u1ea7n nh\u1eefng ch\u00fa th\u00edch t\u1ed1n k\u00e9m c\u1ee7a con ng\u01b0\u1eddi.<\/li>\n<\/ul>\n<h2>C\u00e1c lo\u1ea1i h\u00ecnh h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/h2>\n<p>H\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n lo\u1ea1i th\u00e0nh c\u00e1c lo\u1ea1i kh\u00e1c nhau d\u1ef1a tr\u00ean chi\u1ebfn l\u01b0\u1ee3c l\u1ea5y m\u1eabu m\u00e0 ch\u00fang s\u1eed d\u1ee5ng. M\u1ed9t s\u1ed1 lo\u1ea1i ph\u1ed5 bi\u1ebfn bao g\u1ed3m:<\/p>\n<table>\n<thead>\n<tr>\n<th>Ki\u1ec3u<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>L\u1ea5y m\u1eabu kh\u00f4ng ch\u1eafc ch\u1eafn<\/strong><\/td>\n<td>Ch\u1ecdn c\u00e1c m\u1eabu c\u00f3 \u0111\u1ed9 kh\u00f4ng ch\u1eafc ch\u1eafn c\u1ee7a m\u00f4 h\u00ecnh cao (v\u00ed d\u1ee5: \u0111i\u1ec3m tin c\u1eady th\u1ea5p)<\/td>\n<\/tr>\n<tr>\n<td><strong>L\u1ea5y m\u1eabu \u0111a d\u1ea1ng<\/strong><\/td>\n<td>Ch\u1ecdn c\u00e1c m\u1eabu \u0111\u1ea1i di\u1ec7n cho c\u00e1c v\u00f9ng ph\u00e2n ph\u1ed1i d\u1eef li\u1ec7u kh\u00e1c nhau<\/td>\n<\/tr>\n<tr>\n<td><strong>\u1ee6y ban truy v\u1ea5n<\/strong><\/td>\n<td>S\u1eed d\u1ee5ng nhi\u1ec1u m\u00f4 h\u00ecnh \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh chung c\u00e1c m\u1eabu th\u00f4ng tin<\/td>\n<\/tr>\n<tr>\n<td><strong>Thay \u0111\u1ed5i m\u00f4 h\u00ecnh d\u1ef1 ki\u1ebfn<\/strong><\/td>\n<td>Ch\u1ecdn c\u00e1c m\u1eabu \u0111\u01b0\u1ee3c k\u1ef3 v\u1ecdng s\u1ebd t\u1ea1o ra s\u1ef1 thay \u0111\u1ed5i m\u00f4 h\u00ecnh quan tr\u1ecdng nh\u1ea5t<\/td>\n<\/tr>\n<tr>\n<td><strong>L\u1ef1a ch\u1ecdn d\u1ef1a tr\u00ean lu\u1ed3ng<\/strong><\/td>\n<td>\u00c1p d\u1ee5ng cho c\u00e1c lu\u1ed3ng d\u1eef li\u1ec7u th\u1eddi gian th\u1ef1c, t\u1eadp trung v\u00e0o c\u00e1c m\u1eabu m\u1edbi, ch\u01b0a \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc t\u1eadp t\u00edch c\u1ef1c, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p<\/h2>\n<h3>C\u00e1c tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng H\u1ecdc t\u1eadp T\u00edch c\u1ef1c<\/h3>\n<p>H\u1ecdc t\u1eadp t\u00edch c\u1ef1c t\u00ecm th\u1ea5y c\u00e1c \u1ee9ng d\u1ee5ng trong nhi\u1ec1u l\u0129nh v\u1ef1c kh\u00e1c nhau, bao g\u1ed3m:<\/p>\n<ul>\n<li><strong>X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/strong>: C\u1ea3i thi\u1ec7n ph\u00e2n t\u00edch c\u1ea3m t\u00ednh, nh\u1eadn d\u1ea1ng th\u1ef1c th\u1ec3 \u0111\u01b0\u1ee3c \u0111\u1eb7t t\u00ean v\u00e0 d\u1ecbch m\u00e1y.<\/li>\n<li><strong>T\u1ea7m nh\u00ecn m\u00e1y t\u00ednh<\/strong>: T\u0103ng c\u01b0\u1eddng ph\u00e1t hi\u1ec7n \u0111\u1ed1i t\u01b0\u1ee3ng, ph\u00e2n \u0111o\u1ea1n h\u00ecnh \u1ea3nh v\u00e0 nh\u1eadn d\u1ea1ng khu\u00f4n m\u1eb7t.<\/li>\n<li><strong>Nghi\u00ean c\u1ee9u ch\u1ebf t\u1ea1o thu\u1ed1c<\/strong>: H\u1ee3p l\u00fd h\u00f3a qu\u00e1 tr\u00ecnh kh\u00e1m ph\u00e1 thu\u1ed1c b\u1eb1ng c\u00e1ch ch\u1ecdn c\u00e1c c\u1ea5u tr\u00fac ph\u00e2n t\u1eed gi\u00e0u th\u00f4ng tin \u0111\u1ec3 th\u1eed nghi\u1ec7m.<\/li>\n<li><strong>Ph\u00e1t hi\u1ec7n b\u1ea5t th\u01b0\u1eddng<\/strong>: X\u00e1c \u0111\u1ecbnh c\u00e1c tr\u01b0\u1eddng h\u1ee3p hi\u1ebfm ho\u1eb7c b\u1ea5t th\u01b0\u1eddng trong b\u1ed9 d\u1eef li\u1ec7u.<\/li>\n<li><strong>H\u1ec7 th\u1ed1ng khuy\u1ebfn ngh\u1ecb<\/strong>: C\u00e1 nh\u00e2n h\u00f3a c\u00e1c \u0111\u1ec1 xu\u1ea5t b\u1eb1ng c\u00e1ch t\u00ecm hi\u1ec3u s\u1edf th\u00edch c\u1ee7a ng\u01b0\u1eddi d\u00f9ng m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/li>\n<\/ul>\n<h3>Nh\u1eefng th\u00e1ch th\u1ee9c v\u00e0 gi\u1ea3i ph\u00e1p<\/h3>\n<p>M\u1eb7c d\u00f9 h\u1ecdc t\u1eadp t\u00edch c\u1ef1c mang l\u1ea1i nh\u1eefng l\u1ee3i \u00edch \u0111\u00e1ng k\u1ec3 nh\u01b0ng n\u00f3 c\u0169ng \u0111i k\u00e8m v\u1edbi nh\u1eefng th\u00e1ch th\u1ee9c:<\/p>\n<ul>\n<li><strong>L\u1ef1a ch\u1ecdn chi\u1ebfn l\u01b0\u1ee3c truy v\u1ea5n<\/strong>: Vi\u1ec7c ch\u1ecdn chi\u1ebfn l\u01b0\u1ee3c truy v\u1ea5n ph\u00f9 h\u1ee3p nh\u1ea5t cho m\u1ed9t v\u1ea5n \u0111\u1ec1 c\u1ee5 th\u1ec3 c\u00f3 th\u1ec3 l\u00e0 m\u1ed9t th\u00e1ch th\u1ee9c. K\u1ebft h\u1ee3p nhi\u1ec1u chi\u1ebfn l\u01b0\u1ee3c ho\u1eb7c th\u1eed nghi\u1ec7m c\u00e1c k\u1ef9 thu\u1eadt kh\u00e1c nhau c\u00f3 th\u1ec3 gi\u1ea3m thi\u1ec3u \u0111i\u1ec1u n\u00e0y.<\/li>\n<li><strong>Ch\u1ea5t l\u01b0\u1ee3ng ch\u00fa th\u00edch<\/strong>: Vi\u1ec7c \u0111\u1ea3m b\u1ea3o ch\u00fa th\u00edch ch\u1ea5t l\u01b0\u1ee3ng cao cho c\u00e1c m\u1eabu \u0111\u00e3 ch\u1ecdn l\u00e0 r\u1ea5t quan tr\u1ecdng. C\u01a1 ch\u1ebf ph\u1ea3n h\u1ed3i v\u00e0 ki\u1ec3m tra ch\u1ea5t l\u01b0\u1ee3ng th\u01b0\u1eddng xuy\u00ean c\u00f3 th\u1ec3 gi\u1ea3i quy\u1ebft m\u1ed1i lo ng\u1ea1i n\u00e0y.<\/li>\n<li><strong>Chi ph\u00ed t\u00ednh to\u00e1n<\/strong>: Vi\u1ec7c l\u1eb7p \u0111i l\u1eb7p l\u1ea1i vi\u1ec7c ch\u1ecdn m\u1eabu v\u00e0 c\u1eadp nh\u1eadt m\u00f4 h\u00ecnh c\u00f3 th\u1ec3 t\u1ed1n nhi\u1ec1u c\u00f4ng s\u1ee9c t\u00ednh to\u00e1n. T\u1ed1i \u01b0u h\u00f3a quy tr\u00ecnh h\u1ecdc t\u1eadp t\u00edch c\u1ef1c v\u00e0 t\u1eadn d\u1ee5ng t\u00ednh n\u0103ng song song h\u00f3a c\u00f3 th\u1ec3 h\u1eefu \u00edch.<\/li>\n<\/ul>\n<h2>C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n<table>\n<thead>\n<tr>\n<th>Thu\u1eadt ng\u1eef<\/th>\n<th>S\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>H\u1ecdc b\u00e1n gi\u00e1m s\u00e1t<\/strong><\/td>\n<td>K\u1ebft h\u1ee3p d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n v\u00e0 kh\u00f4ng \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n cho c\u00e1c m\u00f4 h\u00ecnh \u0111\u00e0o t\u1ea1o. H\u1ecdc t\u00edch c\u1ef1c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 ch\u1ecdn d\u1eef li\u1ec7u ch\u01b0a \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n c\u00f3 nhi\u1ec1u th\u00f4ng tin nh\u1ea5t cho ch\u00fa th\u00edch, b\u1ed5 sung cho c\u00e1c ph\u01b0\u01a1ng ph\u00e1p h\u1ecdc b\u00e1n gi\u00e1m s\u00e1t.<\/td>\n<\/tr>\n<tr>\n<td><strong>H\u1ecdc t\u0103ng c\u01b0\u1eddng<\/strong><\/td>\n<td>T\u1eadp trung v\u00e0o vi\u1ec7c h\u1ecdc c\u00e1c h\u00e0nh \u0111\u1ed9ng t\u1ed1i \u01b0u th\u00f4ng qua vi\u1ec7c kh\u00e1m ph\u00e1 v\u00e0 khai th\u00e1c. M\u1eb7c d\u00f9 c\u1ea3 hai \u0111\u1ec1u c\u00f3 chung c\u00e1c y\u1ebfu t\u1ed1 kh\u00e1m ph\u00e1, nh\u01b0ng h\u1ecdc t\u0103ng c\u01b0\u1eddng ch\u1ee7 y\u1ebfu li\u00ean quan \u0111\u1ebfn c\u00e1c nhi\u1ec7m v\u1ee5 ra quy\u1ebft \u0111\u1ecbnh tu\u1ea7n t\u1ef1.<\/td>\n<\/tr>\n<tr>\n<td><strong>Chuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/strong><\/td>\n<td>S\u1eed d\u1ee5ng ki\u1ebfn th\u1ee9c t\u1eeb m\u1ed9t nhi\u1ec7m v\u1ee5 \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t c\u1ee7a m\u1ed9t nhi\u1ec7m v\u1ee5 li\u00ean quan kh\u00e1c. H\u1ecdc t\u00edch c\u1ef1c c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c d\u00e1n nh\u00e3n cho nhi\u1ec7m v\u1ee5 m\u1ee5c ti\u00eau khi ngu\u1ed3n d\u1eef li\u1ec7u \u0111\u00f3 khan hi\u1ebfm.<\/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 h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/h2>\n<p>T\u01b0\u01a1ng lai c\u1ee7a h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 v\u1ebb \u0111\u1ea7y h\u1ee9a h\u1eb9n v\u1edbi nh\u1eefng ti\u1ebfn b\u1ed9 trong c\u00e1c l\u0129nh v\u1ef1c sau:<\/p>\n<ul>\n<li><strong>Chi\u1ebfn l\u01b0\u1ee3c h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/strong>: Ph\u00e1t tri\u1ec3n c\u00e1c chi\u1ebfn l\u01b0\u1ee3c truy v\u1ea5n theo mi\u1ec1n c\u1ee5 th\u1ec3 v\u00e0 ph\u1ee9c t\u1ea1p h\u01a1n \u0111\u1ec3 n\u00e2ng cao h\u01a1n n\u1eefa vi\u1ec7c l\u1ef1a ch\u1ecdn m\u1eabu.<\/li>\n<li><strong>H\u1ecdc t\u1eadp t\u00edch c\u1ef1c tr\u1ef1c tuy\u1ebfn<\/strong>: T\u00edch h\u1ee3p h\u1ecdc t\u1eadp t\u00edch c\u1ef1c v\u00e0o c\u00e1c t\u00ecnh hu\u1ed1ng h\u1ecdc t\u1eadp tr\u1ef1c tuy\u1ebfn, trong \u0111\u00f3 c\u00e1c lu\u1ed3ng d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c x\u1eed l\u00fd v\u00e0 g\u1eafn nh\u00e3n li\u00ean t\u1ee5c.<\/li>\n<li><strong>H\u1ecdc t\u00edch c\u1ef1c trong h\u1ecdc s\u00e2u<\/strong>: Kh\u00e1m ph\u00e1 c\u00e1c k\u1ef9 thu\u1eadt h\u1ecdc t\u00edch c\u1ef1c cho ki\u1ebfn tr\u00fac h\u1ecdc s\u00e2u \u0111\u1ec3 t\u1eadn d\u1ee5ng hi\u1ec7u qu\u1ea3 kh\u1ea3 n\u0103ng h\u1ecdc bi\u1ec3u di\u1ec5n c\u1ee7a ch\u00fang.<\/li>\n<\/ul>\n<h2>C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi ho\u1ea1t \u0111\u1ed9ng h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/h2>\n<p>M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong quy tr\u00ecnh h\u1ecdc t\u1eadp t\u00edch c\u1ef1c, \u0111\u1eb7c bi\u1ec7t khi x\u1eed l\u00fd c\u00e1c b\u1ed9 d\u1eef li\u1ec7u trong th\u1ebf gi\u1edbi th\u1ef1c, ph\u00e2n t\u00e1n ho\u1eb7c quy m\u00f4 l\u1edbn. M\u1ed9t s\u1ed1 c\u00e1ch m\u00e0 m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c li\u00ean k\u1ebft v\u1edbi ho\u1ea1t \u0111\u1ed9ng h\u1ecdc t\u1eadp t\u00edch c\u1ef1c bao g\u1ed3m:<\/p>\n<ol>\n<li><strong>Thu th\u1eadp d\u1eef li\u1ec7u<\/strong>: M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 t\u1ea1o \u0111i\u1ec1u ki\u1ec7n thu\u1eadn l\u1ee3i cho vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n v\u00e0 khu v\u1ef1c kh\u00e1c nhau, cho ph\u00e9p c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc t\u1eadp t\u00edch c\u1ef1c ch\u1ecdn c\u00e1c m\u1eabu \u0111\u1ea1i di\u1ec7n cho c\u00e1c nh\u00e2n kh\u1ea9u h\u1ecdc ho\u1eb7c v\u1ecb tr\u00ed \u0111\u1ecba l\u00fd kh\u00e1c nhau c\u1ee7a ng\u01b0\u1eddi d\u00f9ng.<\/li>\n<li><strong>\u1ea8n danh d\u1eef li\u1ec7u<\/strong>: Khi x\u1eed l\u00fd d\u1eef li\u1ec7u nh\u1ea1y c\u1ea3m, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u1ea9n danh v\u00e0 t\u1ed5ng h\u1ee3p d\u1eef li\u1ec7u \u0111\u1ec3 b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0 c\u1ee7a ng\u01b0\u1eddi d\u00f9ng trong khi v\u1eabn cung c\u1ea5p c\u00e1c m\u1eabu th\u00f4ng tin \u0111\u1ec3 h\u1ecdc t\u1eadp t\u00edch c\u1ef1c.<\/li>\n<li><strong>C\u00e2n b\u1eb1ng t\u1ea3i<\/strong>: Trong c\u00e1c thi\u1ebft l\u1eadp h\u1ecdc t\u1eadp t\u00edch c\u1ef1c ph\u00e2n t\u00e1n, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e2n ph\u1ed1i t\u1ea3i truy v\u1ea5n gi\u1eefa nhi\u1ec1u ngu\u1ed3n d\u1eef li\u1ec7u ho\u1eb7c m\u00f4 h\u00ecnh m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3.<\/li>\n<\/ol>\n<h2>Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n<p>\u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 h\u1ecdc t\u1eadp t\u00edch c\u1ef1c, h\u00e3y c\u00e2n nh\u1eafc kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.cs.utexas.edu\/~ml\/papers\/active-learning-icml05.pdf\" target=\"_new\" rel=\"noopener nofollow\">H\u1ecdc t\u1eadp t\u00edch c\u1ef1c: Kh\u1ea3o s\u00e1t<\/a><\/li>\n<li><a href=\"https:\/\/www.aaai.org\/Papers\/JAIR\/Vol22\/JAIR-2214.pdf\" target=\"_new\" rel=\"noopener nofollow\">H\u1ecdc b\u00e1n gi\u00e1m s\u00e1t v\u1edbi h\u1ecdc t\u1eadp t\u00edch c\u1ef1c<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/an-introduction-to-active-learning-51d044fd94cd\" target=\"_new\" rel=\"noopener nofollow\">Gi\u1edbi thi\u1ec7u v\u1ec1 H\u1ecdc t\u1eadp T\u00edch c\u1ef1c<\/a><\/li>\n<\/ul>\n<p>T\u00f3m l\u1ea1i, h\u1ecdc t\u00edch c\u1ef1c l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd trong l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y, cung c\u1ea5p m\u1ed9t c\u00e1ch hi\u1ec7u qu\u1ea3 \u0111\u1ec3 \u0111\u00e0o t\u1ea1o c\u00e1c m\u00f4 h\u00ecnh c\u00f3 d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c g\u1eafn nh\u00e3n h\u1ea1n ch\u1ebf. Kh\u1ea3 n\u0103ng t\u00edch c\u1ef1c t\u00ecm ki\u1ebfm c\u00e1c m\u1eabu th\u00f4ng tin cho ph\u00e9p gi\u1ea3m chi ph\u00ed ghi nh\u00e3n, c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng kh\u00e1i qu\u00e1t h\u00f3a v\u00e0 kh\u1ea3 n\u0103ng th\u00edch \u1ee9ng cao h\u01a1n tr\u00ean c\u00e1c l\u0129nh v\u1ef1c kh\u00e1c nhau. Khi c\u00f4ng ngh\u1ec7 ti\u1ebfp t\u1ee5c ph\u00e1t tri\u1ec3n, h\u1ecdc t\u1eadp t\u00edch c\u1ef1c d\u1ef1 ki\u1ebfn s\u1ebd \u0111\u00f3ng vai tr\u00f2 trung t\u00e2m trong vi\u1ec7c gi\u1ea3i quy\u1ebft t\u00ecnh tr\u1ea1ng khan hi\u1ebfm d\u1eef li\u1ec7u v\u00e0 n\u00e2ng cao kh\u1ea3 n\u0103ng c\u1ee7a c\u00e1c thu\u1eadt to\u00e1n h\u1ecdc m\u00e1y. Khi k\u1ebft h\u1ee3p v\u1edbi m\u00e1y ch\u1ee7 proxy, h\u1ecdc t\u1eadp t\u00edch c\u1ef1c c\u00f3 th\u1ec3 t\u1ed1i \u01b0u h\u00f3a h\u01a1n n\u1eefa vi\u1ec7c thu th\u1eadp d\u1eef li\u1ec7u, b\u1ea3o v\u1ec7 quy\u1ec1n ri\u00eang t\u01b0 v\u00e0 kh\u1ea3 n\u0103ng m\u1edf r\u1ed9ng trong c\u00e1c \u1ee9ng d\u1ee5ng trong th\u1ebf gi\u1edbi th\u1ef1c.<\/p>","protected":false},"featured_media":467468,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475797","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Active Learning: Enhancing Machine Learning with Intelligent Sampling<\/mark>","faq_items":[{"question":"What is active learning, and how does it benefit machine learning?","answer":"<p>Active learning is a machine learning paradigm that allows algorithms to interactively select and annotate the most informative samples from an unlabeled dataset. By focusing on valuable instances, active learning reduces the need for large labeled datasets, making the learning process more efficient and cost-effective. This approach leads to improved model generalization, adaptability, and overall performance.<\/p>"},{"question":"How did active learning originate, and when was it first mentioned?","answer":"<p>The concept of active learning can be traced back to early machine learning research, but it gained formalization in the late 1990s. One of the earliest mentions can be found in the paper titled \"Query by Committee\" by David D. Lewis and William A. Gale in 1994. The authors proposed a method to select uncertain samples and annotate them through a committee of models.<\/p>"},{"question":"How does active learning work internally?","answer":"<p>Active learning follows a dynamic sampling process that involves several steps. It starts with an initial model training on a small labeled dataset. The algorithm then measures uncertainty within the model's predictions to identify ambiguous or low-confidence samples. These informative samples are selected from the unlabeled pool and annotated. The model is updated with the newly labeled data, and the process iterates until the desired performance or labeling budget is achieved.<\/p>"},{"question":"What are the key features and advantages of active learning?","answer":"<p>Active learning offers several advantages over traditional supervised learning, including:<\/p><ul><li><strong>Label Efficiency<\/strong>: Requires fewer labeled instances for training.<\/li><li><strong>Improved Generalization<\/strong>: Results in models with better performance on unseen data.<\/li><li><strong>Adaptability<\/strong>: Works with various machine learning algorithms and domains.<\/li><li><strong>Cost Reduction<\/strong>: Leads to cost savings in data labeling efforts.<\/li><\/ul>"},{"question":"What are the different types of active learning?","answer":"<p>Active learning can be categorized based on the sampling strategies used:<\/p><ul><li><strong>Uncertainty Sampling<\/strong>: Selecting samples with high model uncertainty.<\/li><li><strong>Diversity Sampling<\/strong>: Choosing samples that represent diverse data regions.<\/li><li><strong>Query by Committee<\/strong>: Employing multiple models to identify informative samples.<\/li><li><strong>Expected Model Change<\/strong>: Selecting samples expected to create significant model updates.<\/li><li><strong>Stream-Based Selection<\/strong>: Applicable to real-time data streams, focusing on new samples.<\/li><\/ul>"},{"question":"In which areas can active learning be applied?","answer":"<p>Active learning finds applications in various domains, including:<\/p><ul><li>Natural Language Processing<\/li><li>Computer Vision<\/li><li>Drug Discovery<\/li><li>Anomaly Detection<\/li><li>Recommendation Systems<\/li><\/ul>"},{"question":"What challenges are associated with active learning, and how can they be addressed?","answer":"<p>Challenges in active learning include selecting suitable query strategies, ensuring high-quality annotations, and managing computational overhead. Combining multiple strategies, regular quality checks, and optimizing the active learning pipeline can help address these challenges effectively.<\/p>"},{"question":"How does active learning compare to similar terms like semi-supervised learning and reinforcement learning?","answer":"<p>While both semi-supervised learning and reinforcement learning involve elements of exploration, active learning focuses on selecting informative samples to improve model training efficiency. Semi-supervised learning combines labeled and unlabeled data, while reinforcement learning is mainly concerned with sequential decision-making tasks.<\/p>"},{"question":"What can we expect for the future of active learning?","answer":"<p>The future of active learning holds promising advancements in active learning strategies, online active learning, and its integration with deep learning architectures. These developments will further enhance its potential in addressing data scarcity and improving machine learning algorithms.<\/p>"},{"question":"How do proxy servers relate to active learning?","answer":"<p>Proxy servers can play a crucial role in active learning workflows by facilitating data collection from diverse sources, anonymizing sensitive data, and optimizing load balancing in distributed setups. They enhance the efficiency and scalability of active learning in real-world applications.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/475797","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\/475797\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/467468"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=475797"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}