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» An Experiment with Distance Measures for Clustering
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ICML
2009
IEEE
15 years 10 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
141
Voted
SIGMOD
2007
ACM
156views Database» more  SIGMOD 2007»
15 years 9 months ago
JouleSort: a balanced energy-efficiency benchmark
The energy efficiency of computer systems is an important concern in a variety of contexts. In data centers, reducing energy use improves operating cost, scalability, reliability,...
Suzanne Rivoire, Mehul A. Shah, Parthasarathy Rang...
BIBM
2008
IEEE
142views Bioinformatics» more  BIBM 2008»
15 years 4 months ago
Using Global Sequence Similarity to Enhance Biological Sequence Labeling
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasa...
MCS
2007
Springer
15 years 3 months ago
Group-Induced Vector Spaces
The strength of classifier combination lies either in a suitable averaging over multiple experts/sources or in a beneficial integration of complementary approaches. In this paper...
Manuele Bicego, Elzbieta Pekalska, Robert P. W. Du...
IDA
2003
Springer
15 years 2 months ago
Obtaining Quality Microarray Data via Image Reconstruction
Abstract. This paper introduces a novel method for processing spotted microarray images, inspired from image reconstruction. Instead of the usual approach that focuses on the signa...
Paul O'Neill, George D. Magoulas, Xiaohui Liu