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» A statistical approach to rule learning
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ICALT
2005
IEEE
14 years 3 months ago
Mining Learner Profile Utilizing Association Rule for Common Learning Misconception Diagnosis
With the rapid growth of computer and Internet technologies, e-learning has become a major trend in the computer assisted teaching and learning fields. Most past researches for we...
Chih-Ming Chen, Ying-Ling Hsieh
ICSE
2010
IEEE-ACM
14 years 2 months ago
An eclectic approach for change impact analysis
Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, a...
Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora,...
EMNLP
2008
13 years 11 months ago
Maximum Entropy based Rule Selection Model for Syntax-based Statistical Machine Translation
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
Qun Liu, Zhongjun He, Yang Liu, Shouxun Lin
JETAI
2010
56views more  JETAI 2010»
13 years 8 months ago
Warning: statistical benchmarking is addictive. Kicking the habit in machine learning
Algorithm performance evaluation is so entrenched in the Machine Learning community that one could call it an addiction. Like most addictions, it is harmful and very difficult to ...
Chris Drummond, Nathalie Japkowicz
JAMIA
2011
140views more  JAMIA 2011»
13 years 26 days ago
Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule
Objective Healthcare organizations must de-identify patient records before sharing data. Many organizations rely on the Safe Harbor Standard of the HIPAAPrivacy Rule, which enumer...
Bradley Malin, Kathleen Benitez, Daniel R. Masys