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» A Multi-metric Similarity Based Analysis of Microarray Data
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BICOB
2010
Springer
13 years 5 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala
JCIT
2010
113views more  JCIT 2010»
13 years 2 months ago
On Deriving an Equation of the Mutation Rate of the Hepatitis B Virus
The mutation rate of the hepatitis B virus (HBV) is often obtained by statistical software. This is restricted to the sampled data and cannot be applied to other cases. This limit...
Koun-Tem Sun, Chih-Hsuan Wei, Yi-Yu Hsu, Wen-Chun ...
ICPR
2006
IEEE
14 years 8 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
14 years 8 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
DIS
1998
Springer
13 years 12 months ago
Automatic Transaction of Signal via Statistical Modeling
The statistical information processing can be characterized by the likelihood function de ned by giving an explicit form for an approximation to the true distribution. This mathema...
Genshiro Kitagawa, Tomoyuki Higuchi