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147
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ECAI
2004
Springer
15 years 6 months ago
Avoiding Data Overfitting in Scientific Discovery: Experiments in Functional Genomics
Functional genomics is a typical scientific discovery domain characterized by a very large number of attributes (genes) relative to the number of examples (observations). The dang...
Dragan Gamberger, Nada Lavrac
123
Voted
UAI
2003
15 years 4 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
124
Voted
AEI
2006
253views more  AEI 2006»
15 years 2 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi
119
Voted
SIGCSE
2008
ACM
169views Education» more  SIGCSE 2008»
15 years 2 months ago
APOGEE: automated project grading and instant feedback system for web based computing
Providing consistent, instant, and detailed feedback to students has been a big challenge in teaching Web based computing, given the complexity of project assignments and the comp...
Xiang Fu, Boris Peltsverger, Kai Qian, Lixin Tao, ...
98
Voted
ML
2000
ACM
105views Machine Learning» more  ML 2000»
15 years 2 months ago
Multiple Comparisons in Induction Algorithms
Abstract. A single mechanism is responsible for three pathologies of induction algorithms: attribute selection errors, overfitting, and oversearching. In each pathology, induction ...
David D. Jensen, Paul R. Cohen