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» On Using Learning Curves to Evaluate ITS
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CICLING
2006
Springer
13 years 11 months ago
Application of Semi-supervised Learning to Evaluative Expression Classification
Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
Yasuhiro Suzuki, Hiroya Takamura, Manabu Okumura
AIED
2005
Springer
13 years 10 months ago
Evaluating Inquiry Learning Through Recognition-Based Tasks
The Rashi inquiry learning environment for human biology was evaluated using a new instrument for assessing gains in scientific inquiry skills. The instrument was designed to be se...
Tom Murray, Kenneth Rath, Beverly Park Woolf, Davi...
AAAI
1998
13 years 9 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore
IJCNLP
2005
Springer
14 years 1 months ago
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Seungwoo Lee, Gary Geunbae Lee
IJCNN
2006
IEEE
14 years 1 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang