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» Feature selection for ranking using boosted trees
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LREC
2010
164views Education» more  LREC 2010»
15 years 1 months ago
Semantic Feature Engineering for Enhancing Disambiguation Performance in Deep Linguistic Processing
The task of parse disambiguation has gained in importance over the last decade as the complexity of grammars used in deep linguistic processing has been increasing. In this paper ...
Danielle Ben-Gera, Yi Zhang 0003, Valia Kordoni
VIP
2003
15 years 1 months ago
Optimal Selection of Image Segmentation Algorithms Based on Performance Prediction
Using different algorithms to segment different images is a quite straightforward strategy for automated image segmentation. But the difficulty of the optimal algorithm selection ...
Yong Xia, David Dagan Feng, Rongchun Zhao
IJCAI
1993
15 years 1 months ago
Rule-Based Regression
While decision trees have been used primarily for classification, they can also model regression or function approximation. Like classification trees, regression trees often yield...
Sholom M. Weiss, Nitin Indurkhya
ISCA
2009
IEEE
158views Hardware» more  ISCA 2009»
15 years 6 months ago
Boosting single-thread performance in multi-core systems through fine-grain multi-threading
Industry has shifted towards multi-core designs as we have hit the memory and power walls. However, single thread performance remains of paramount importance since some applicatio...
Carlos Madriles, Pedro López, Josep M. Codi...
ICAPR
2009
Springer
15 years 6 months ago
Relevant and Redundant Feature Analysis with Ensemble Classification
— Feature selection and ensemble classification increase system efficiency and accuracy in machine learning, data mining and biomedical informatics. This research presents an ana...
Rakkrit Duangsoithong, Terry Windeatt