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FLAIRS
2000
15 years 8 months ago
Supporting Intelligent Tutoring in CALL by Modeling the User's Grammar
This paper presents a model for representing the pro ciency of users in a CALL system by recording their performance on speci c grammatical features. The model will be used both t...
Lisa N. Michaud, Kathleen F. McCoy
ALMOB
2007
133views more  ALMOB 2007»
15 years 6 months ago
Characteristics of predictor sets found using differential prioritization
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng
MIAR
2006
IEEE
16 years 23 days ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
AMFG
2005
IEEE
327views Biometrics» more  AMFG 2005»
16 years 12 days ago
AdaBoost Gabor Fisher Classifier for Face Recognition
This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed an...
Shiguang Shan, Peng Yang, Xilin Chen, Wen Gao
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
16 years 7 days ago
Finding Rough Set Reducts with SAT
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
Richard Jensen, Qiang Shen, Andrew Tuson