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» Embedding Heterogeneous Data Using Statistical Models
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NIPS
2004
13 years 9 months ago
Euclidean Embedding of Co-Occurrence Data
Embedding algorithms search for low dimensional structure in complex data, but most algorithms only handle objects of a single type for which pairwise distances are specified. Thi...
Amir Globerson, Gal Chechik, Fernando C. Pereira, ...
BMCBI
2005
169views more  BMCBI 2005»
13 years 7 months ago
Genetic interaction motif finding by expectation maximization - a novel statistical model for inferring gene modules from synthe
Background: Synthetic lethality experiments identify pairs of genes with complementary function. More direct functional associations (for example greater probability of membership...
Yan Qi 0003, Ping Ye, Joel S. Bader
PERCOM
2007
ACM
14 years 7 months ago
Expressing Sensor Network Interaction Patterns Using Data-Driven Macroprogramming
Wireless Sensor Networks (WSNs) are increasingly being employed as a key building block of pervasive computing infrastructures, owing to their ability to be embedded within the re...
Animesh Pathak, Luca Mottola, Amol Bakshi, Viktor ...
CATA
2003
13 years 9 months ago
Query Processing the Heterogeneous Information Sources using Ontology-based Approach
The problems of accessing and integrating heterogeneous information sources are becoming centerstage problems. One problem arising from accessing heterogeneous sources is semantic...
Ngamnij Arch-int, Yuefeng Li, Paul Roe, Peraphon S...
IPPS
2007
IEEE
14 years 1 months ago
Model and Methodology for the Synthesis of Heterogeneous and Partially Reconfigurable Systems
When reconfigurable devices are used in modern embedded systems and their capability to adapt to changing application requirements becomes an issue, comprehensive modeling and de...
Florian Dittmann, Marcelo Götz, Achim Rettber...