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ICML
1997
IEEE
16 years 3 months ago
Learning Belief Networks in the Presence of Missing Values and Hidden Variables
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
Nir Friedman
SIGMOD
2009
ACM
192views Database» more  SIGMOD 2009»
16 years 3 months ago
Scalable join processing on very large RDF graphs
With the proliferation of the RDF data format, engines for RDF query processing are faced with very large graphs that contain hundreds of millions of RDF triples. This paper addre...
Thomas Neumann, Gerhard Weikum
SIGMOD
2003
ACM
111views Database» more  SIGMOD 2003»
16 years 3 months ago
Extended Wavelets for Multiple Measures
While work in recent years has demonstrated that wavelets can be efficiently used to compress large quantities of data and provide fast and fairly accurate answers to queries, lit...
Antonios Deligiannakis, Nick Roussopoulos
CSMR
2009
IEEE
15 years 9 months ago
Identification of Extract Method Refactoring Opportunities
Extract Method has been recognized as one of the most important refactorings, since it decomposes large methods and can be used in combination with other refactorings for fixing a...
Nikolaos Tsantalis, Alexander Chatzigeorgiou
ICC
2007
IEEE
121views Communications» more  ICC 2007»
15 years 9 months ago
Opportunistic Scheduling for Wireless Network Coding
— This paper addresses a scheduling problem for wireless network coding which has been recently proposed as a novel method to enhance the throughput in wireless networks. The wir...
Hiroyuki Yomo, Petar Popovski