Semi-Supervised Classification Algorithm: Difference between revisions

m (Text replace - " (2007)" to " (2007)")
 
m (Text replacement - ". ----" to ". ----")
 
(22 intermediate revisions by 2 users not shown)
Line 1: Line 1:
A [[Semi-Supervised Classification Algorithm]] is a [[Supervised Classification Algorithm]] that can solve a [[Semi-Supervised Classification Task]].
A [[Semi-Supervised Classification Algorithm]] is a [[semi-supervised learning algorithm]] that is a [[data-driven classification algorithm]].
* <B><U>Context</U>:</B>
* <B>Context</U>:</B>
** ??? It can be a:
** It can range from being a [[Semi-Supervised Binary Classification Algorithm]] to being a [[Semi-Supervised Multiclass Classification Algorithm]].
*** ??? [[Generative Classification Algorithm]].
** It can be implemented into a [[Semi-Supervised Classification System]] (to solve a [[semi-supervised classification task]]).
*** ??? [[Discriminative Classification Algorithm]].
** …
* <B><U>Example(s)</U>:</B>  
* <B>Example(s):</B>  
** [[Progressive Transductive Support Vector Machine]] ([[PTSVM]]).
** [[Progressive Transductive Support Vector Machine]] ([[PTSVM]]).
** A [[Semi-Supervised Named Entity Recognition Algorithm]].
** A [[Semi-Supervised Named Entity Recognition Algorithm]].
** [[Snowball Algorithm]], a [[Semi-Supervised Relation Mention Recognition Algorithm]].
** A [[Semi-Supervised Relation Mention Recognition Algorithm]], such as [[Snowball Algorithm|Snowball]].
* <B><U>See</U>:</B> [[Fully-Supervised Classification Algorithm]], [[Semi-Supervised Learning Algorithm]], [[Semi-Supervised Estimation Algorithm]].
** …
* <B>Counter-Example(s):</B>
** a [[Fully-Supervised Classification Algorithm]].
** a [[Semi-Supervised Estimation Algorithm]], or [[Semi-Supervised Ranking Algorithm]].
* <B>See:</B> [[Self-Supervised Learning Algorithm]].
 
----
----
----
----
==References ==


===2008===
== References ==
* ([[2008_SemiSupervisedLearningLitReview|Zhu, 2008]]) &rArr; [[Xiaojin Zhu]]. ([[2008]]). "[http://www.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf Semi-Supervised Learning Literature Survey (revised edition)]." Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison.
 
=== 2008 ===
* ([[2008_SemiSupervisedLearningLitReview|Zhu, 2008]]) [[Xiaojin Zhu]]. ([[2008]]). [http://www.cs.wisc.edu/~jerryzhu/pub/ssl_survey.pdf Semi-Supervised Learning Literature Survey (revised edition)]." Technical Report 1530, Department of Computer Sciences, University of Wisconsin, Madison.


===2007===
=== 2007 ===
* ([[2007_SemiSupervisedLearning|Zhu, 2007]]) &rArr; Xiaojin Zhu. ([[2007]]). "[http://pages.cs.wisc.edu/~jerryzhu/pub/sslicml07.pdf Semi-Supervised Learning]." Tutorial at ICML 2007.
* ([[2007_SemiSupervisedLearning|Zhu, 2007]]) Xiaojin Zhu. ([[2007]]). [http://pages.cs.wisc.edu/~jerryzhu/pub/sslicml07.pdf Semi-Supervised Learning]." Tutorial at ICML 2007.


===2003===
=== 2003 ===
* ([[2003_LearningWithProgrTransdSVM|Chen & al, 2003]]) &rArr; Yisong Chen, Guoping Wang, and Shihai Dong. (2003). "[http://dx.doi.org/10.1016/S0167-8655(03)00008-4 Learning with Progressive Transductive Support Vector Machine]." In: Pattern Recognition Letters, 24(12). [http://dx.doi.org/10.1016/S0167-8655(03)00008-4 doi:10.1016/S0167-8655(03)00008-4]
* ([[2003_LearningwithProgressiveTransduc|Chen et al., 2003]]) Yisong Chen, Guoping Wang, and Shihai Dong. ([[2003]]). [http://dx.doi.org/10.1016/S0167-8655(03)00008-4 Learning with Progressive Transductive Support Vector Machine].In: Pattern Recognition Letters, 24(12). [http://dx.doi.org/10.1016/S0167-8655(03)00008-4 doi:10.1016/S0167-8655(03)00008-4]
----
----


__NOTOC__
__NOTOC__
[[Category:Concept]]
[[Category:Concept]]

Latest revision as of 20:56, 23 September 2021