DocumentCode :
3296055
Title :
Research on "Inaccurate Learning" and Its Countermeasure in Machine Learning
Author :
Li, Guo-chang
Author_Institution :
Coll. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang
Volume :
1
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
227
Lastpage :
231
Abstract :
The knowledge you gained after learning is false, this learning is "inaccurate learning". The false knowledge is the knowledge not according to practice. Human always have "inaccurate learning" in learning, though they through more learning and study will correct the false knowledge they had learned, Compared to human learning, the machine learning is simple, so deal with ldquoinaccurate learningrdquo is easy. Aim at the "inaccurate learning" in machine learning, this paper discussed its characteristic and solve method, and improve the knowledge quality of machine learning.
Keywords :
learning (artificial intelligence); false knowledge; inaccurate learning; knowledge quality; machine learning; Conference management; Educational institutions; Eyes; Feeds; Fires; Humans; Knowledge management; Machine learning; Pain; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.879
Filename :
4666844
Link To Document :
بازگشت