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ICMLA
2008
15 years 8 months ago
Decision Tree Ensemble: Small Heterogeneous Is Better Than Large Homogeneous
Using decision trees that split on randomly selected attributes is one way to increase the diversity within an ensemble of decision trees. Another approach increases diversity by ...
Michael Gashler, Christophe G. Giraud-Carrier, Ton...
APBC
2003
116views Bioinformatics» more  APBC 2003»
15 years 8 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert
ECCV
2010
Springer
15 years 8 months ago
Self-Adapting Feature Layers
Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...
CORR
2004
Springer
140views Education» more  CORR 2004»
15 years 6 months ago
Integrating Defeasible Argumentation and Machine Learning Techniques
The field of machine learning (ML) is concerned with the question of how to construct algorithms that automatically improve with experience. In recent years many successful ML app...
Sergio Alejandro Gómez, Carlos Iván ...
INFOCOM
2010
IEEE
15 years 5 months ago
Building Scalable Virtual Routers with Trie Braiding
—Many popular algorithms for fast packet forwarding and filtering rely on the tree data structure. Examples are the trie-based IP lookup and packet classification algorithms. W...
Haoyu Song, Murali S. Kodialam, Fang Hao, T. V. La...