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FLAIRS
2008
13 years 10 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
BMCBI
2010
108views more  BMCBI 2010»
13 years 5 months ago
Prediction of RNA secondary structure by maximizing pseudo-expected accuracy
Background: Recent studies have revealed the importance of considering the entire distribution of possible secondary structures in RNA secondary structure predictions; therefore, ...
Michiaki Hamada, Kengo Sato, Kiyoshi Asai
CVPR
2009
IEEE
15 years 2 months ago
Volterrafaces: Discriminant Analysis using Volterra Kernels
In this paper we present a novel face classification system where we represent face images as a spatial arrangement of image patches, and seek a smooth non-linear functional map...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri
CVPR
2008
IEEE
14 years 9 months ago
Exact inference in multi-label CRFs with higher order cliques
This paper addresses the problem of exactly inferring the maximum a posteriori solutions of discrete multi-label MRFs or CRFs with higher order cliques. We present a framework to ...
Srikumar Ramalingam, Pushmeet Kohli, Karteek Alaha...
ICDT
2009
ACM
119views Database» more  ICDT 2009»
14 years 8 months ago
Analysis of sampling techniques for association rule mining
In this paper, we present a comprehensive theoretical analysis of the sampling technique for the association rule mining problem. Most of the previous works have concentrated only...
Venkatesan T. Chakaravarthy, Vinayaka Pandit, Yogi...