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» A Graph Theoretic Approach to Protein Structure Selection
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FLAIRS
2010
13 years 11 months ago
Using a Graph-Based Approach for Discovering Cybercrime
The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly det...
William Eberle, Lawrence B. Holder, Jeffrey Graves
ECAI
2008
Springer
13 years 10 months ago
Reinforcement Learning with Classifier Selection for Focused Crawling
Focused crawlers are programs that wander in the Web, using its graph structure, and gather pages that belong to a specific topic. The most critical task in Focused Crawling is the...
Ioannis Partalas, Georgios Paliouras, Ioannis P. V...
BMCBI
2006
249views more  BMCBI 2006»
13 years 8 months ago
Gene functional similarity search tool (GFSST)
Background: With the completion of the genome sequences of human, mouse, and other species and the advent of high throughput functional genomic research technologies such as biomi...
Peisen Zhang, Jinghui Zhang, Huitao Sheng, James J...
BMCBI
2011
13 years 7 days ago
RAG: An Update to the RNA-As-Graphs Resource
Background: In 2004, we presented a web resource for stimulating the search for novel RNAs, RNA-As-Graphs (RAG), which classified, catalogued, and predicted RNA secondary structur...
Joseph A. Izzo, Namhee Kim, Shereef Elmetwaly, Tam...
DAGM
2004
Springer
14 years 2 months ago
Predictive Discretization During Model Selection
We present an approach to discretizing multivariate continuous data while learning the structure of a graphical model. We derive the joint scoring function from the principle of p...
Harald Steck, Tommi Jaakkola