Diagnoses of Learning Disability Students by Support Vector Machines with Sequential Forward Selection Techniques
碩士 === 國立暨南國際大學 === 資訊管理學系 === 98 === Abstract The identification or diagnosis of learning disability (LD) students has been a critical issue for a long time because of the implicit characteristics of LD. The LD diagnosis procedures usually include interpreting some standard statistical tests or...
Main Authors: | Chao Wei Huang, 黃昭瑋 |
---|---|
Other Authors: | Ping Feng Pai |
Format: | Others |
Language: | zh-TW |
Published: |
2010
|
Online Access: | http://ndltd.ncl.edu.tw/handle/14117261947839035382 |
Similar Items
-
The Study of Sequential Minimal Transductive Support Vector Machine
by: Le Hoang Hiep, et al.
Published: (2010) -
Sequential Support Vector Machine for Face Recognition
by: Guan-Jhong Lin, et al.
Published: (2005) -
Applying Combined Approach of Sequential Floating Forward Selection and Support Vector Machine to Predict Financial Distress of Listed Companies in Tehran Stock Exchange Market
by: Saeid Fallahpour, et al.
Published: (2018-11-01) -
PSO-Based Support Vector Machine with Cuckoo Search Technique for Clinical Disease Diagnoses
by: Xiaoyong Liu, et al.
Published: (2014-01-01) -
Key Gene Selection in Microarray Using Sequential Forward Selection Strategy
by: Yu-Chao Chen, et al.
Published: (2013)