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ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
16 years 1 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville
BMCBI
2010
153views more  BMCBI 2010»
15 years 6 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
ML
2006
ACM
15 years 6 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
POLICY
2007
Springer
16 years 22 days ago
Data-Purpose Algebra: Modeling Data Usage Policies
Data is often encumbered by restrictions on the ways in which it may be used. These restrictions on usage may be determined by statute, by contract, by custom, or by common decenc...
Chris Hanson, Tim Berners-Lee, Lalana Kagal, Geral...
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 8 months ago
Identifying Character Non-Independence in Phylogenetic Data Using Data Mining Techniques
Undiscovered relationships in a data set may confound analyses, particularly those that assume data independence. Such problems occur when characters used for phylogenetic analyse...
Anne M. Maglia, Jennifer L. Leopold, Venkat Ram Gh...