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ICTAI
2008
IEEE
13 years 11 months ago
Using Imputation Techniques to Help Learn Accurate Classifiers
It is difficult to learn good classifiers when training data is missing attribute values. Conventional techniques for dealing with such omissions, such as mean imputation, general...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
HIS
2004
13 years 6 months ago
K-Ranked Covariance Based Missing Values Estimation for Microarray Data Classification
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence ...
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
13 years 9 months ago
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring
Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tuto...
Erin Walker, Sean Walker, Nikol Rummel, Kenneth R....
AIME
2005
Springer
13 years 10 months ago
Helping Physicians to Organize Guidelines Within Conceptual Hierarchies
Abstract. Clinical Practice Guidelines (CPGs) are increasingly common in clinical medicine for prescribing a set of rules that a physician should follow. Recent interest is in accu...
Diego Sona, Paolo Avesani, Robert Moskovitch
ICDAR
2005
IEEE
13 years 10 months ago
Language Identification of Character Images Using Machine Learning Techniques
In this paper, we propose a new approach for identifying the language type of character images. We do this by classifying individual character images to determine the language bou...
Ying-Ho Liu, Fu Chang, Chin-Chin Lin