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» Information extraction, data mining and joint inference
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99
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DILS
2009
Springer
15 years 4 months ago
Integration of Full-Coverage Probabilistic Functional Networks with Relevance to Specific Biological Processes
Probabilistic functional integrated networks are powerful tools with which to draw inferences from high-throughput data. However, network analyses are generally not tailored to spe...
Katherine James, Anil Wipat, Jennifer Hallinan
ER
2006
Springer
145views Database» more  ER 2006»
15 years 1 months ago
Combining Declarative and Procedural Knowledge to Automate and Represent Ontology Mapping
Ontologies on the Semantic Web are by nature decentralized. From the body of ontology mapping approaches, we can draw a conclusion that an effective approach to automate ontology m...
Li Xu, David W. Embley, Yihong Ding
108
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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
15 years 4 months ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
15 years 2 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...