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BMCBI
2007
128views more  BMCBI 2007»
14 years 10 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
OOPSLA
1998
Springer
15 years 2 months ago
How to Preserve the Benefits of Design Patterns
The rapid evolution of Design Patterns has hampered the benefits gained from using Design Patterns. The increase in the number of Design Patterns makes a common vocabulary unmanag...
Ellen Agerbo, Aino Cornils
ICDAR
2007
IEEE
15 years 4 months ago
Energy-Based Models in Document Recognition and Computer Vision
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
Yann LeCun, Sumit Chopra, Marc'Aurelio Ranzato, Fu...
BMCBI
2005
121views more  BMCBI 2005»
14 years 9 months ago
Evaluation of gene importance in microarray data based upon probability of selection
Background: Microarray devices permit a genome-scale evaluation of gene function. This technology has catalyzed biomedical research and development in recent years. As many import...
Li M. Fu, Casey S. Fu-Liu
ESEM
2007
ACM
15 years 1 months ago
The Effects of Over and Under Sampling on Fault-prone Module Detection
The goal of this paper is to improve the prediction performance of fault-prone module prediction models (fault-proneness models) by employing over/under sampling methods, which ar...
Yasutaka Kamei, Akito Monden, Shinsuke Matsumoto, ...