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» Constraint Programming for Data Mining and Machine Learning
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APSEC
2001
IEEE
15 years 10 months ago
Expert Maintainers' Strategies and Needs when Understanding Software: A Case Study Approach
Accelerating the learning curve of software maintainers working on systems with which they have little familiarity motivated this study. A working hypothesis was that automated me...
Christos Tjortjis, Paul J. Layzell
IJCNN
2008
IEEE
16 years 25 days ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
ECTEL
2007
Springer
16 years 18 days ago
Using MotSaRT to Support On-Line Teachers in Student Motivation
Motivation to learn is affected by a student’s self-efficacy, goal orientation, locus of control and perceived task difficulty. In the classroom, teachers know how to motivate th...
Teresa Hurley, Stephan Weibelzahl
IJCAI
1989
15 years 7 months ago
Concept Formation by Incremental Conceptual Clustering
Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the ...
Mirsad Hadzikadic, David Y. Y. Yun
169
Voted
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
New perspectives and methods in link prediction
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
Ryan Lichtenwalter, Jake T. Lussier, Nitesh V. Cha...