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» Predicting relative performance of classifiers from samples
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SODA
2008
ACM
110views Algorithms» more  SODA 2008»
13 years 10 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
BMCBI
2008
127views more  BMCBI 2008»
13 years 9 months ago
Human Pol II promoter recognition based on primary sequences and free energy of dinucleotides
Background: Promoter region plays an important role in determining where the transcription of a particular gene should be initiated. Computational prediction of eukaryotic Pol II ...
Jian-Yi Yang, Yu Zhou, Zu-Guo Yu, Vo Anh, Li-Qian ...
PRL
2007
98views more  PRL 2007»
13 years 8 months ago
Error probabilities for local extrema in gene expression data
Current approaches for the prediction of functional relations from gene expression data often do not have a clear methodology for extracting features and are not accompanied by a ...
Perry Groot, Christian Gilissen, Michael Egmont-Pe...
BMCBI
2007
147views more  BMCBI 2007»
13 years 9 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
CVPR
2006
IEEE
14 years 11 months ago
Modeling Age Progression in Young Faces
We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the `rev...
Narayanan Ramanathan, Rama Chellappa