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BMCBI
2006
119views more  BMCBI 2006»
15 years 6 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
EDBT
2008
ACM
99views Database» more  EDBT 2008»
16 years 6 months ago
Querying time-series streams
Index trees created using distance based indexing are difficult to maintain online since the distance function involved is often costly to compute. This problem is intensified whe...
Vivekanand Gopalkrishnan
SIGIR
2009
ACM
16 years 1 months ago
Counting ancestors to estimate authority
The AncestorRank algorithm calculates an authority score by using just one characteristic of the web graph—the number of ancestors per node. For scalability, we estimate the num...
Jian Wang, Brian D. Davison
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
16 years 26 days ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
16 years 3 days ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi