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ICDM
2009
IEEE
150views Data Mining» more  ICDM 2009»
13 years 6 months ago
Filtering and Refinement: A Two-Stage Approach for Efficient and Effective Anomaly Detection
Anomaly detection is an important data mining task. Most existing methods treat anomalies as inconsistencies and spend the majority amount of time on modeling normal instances. A r...
Xiao Yu, Lu An Tang, Jiawei Han
IACR
2011
135views more  IACR 2011»
12 years 8 months ago
Charm: A framework for Rapidly Prototyping Cryptosystems
We describe Charm, an extensible framework designed for rapid prototyping of cryptographic systems that utilize the latest advances in cryptography, such as identity and attribute...
Joseph A. Akinyele, Matthew Green, Aviel D. Rubin
BMCBI
2008
105views more  BMCBI 2008»
13 years 9 months ago
Using the longest significance run to estimate region-specific p-values in genetic association mapping studies
Background: Association testing is a powerful tool for identifying disease susceptibility genes underlying complex diseases. Technological advances have yielded a dramatic increas...
Ie-Bin Lian, Yi-Hsien Lin, Ying-Chao Lin, Hsin-Cho...
JMLR
2007
137views more  JMLR 2007»
13 years 9 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
BMCBI
2010
108views more  BMCBI 2010»
13 years 9 months ago
A genetic ensemble approach for gene-gene interaction identification
Background: It has now become clear that gene-gene interactions and gene-environment interactions are ubiquitous and fundamental mechanisms for the development of complex diseases...
Pengyi Yang, Joshua W. K. Ho, Albert Y. Zomaya, Bi...