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NIPS
2008
13 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
ECOOP
1998
Springer
13 years 9 months ago
The Complexity of Type Analysis of Object Oriented Programs
One of the price tags attached to the blessings that OO brings about is a drop in efficiency due to dynamic method dispatch. Much research effort is being spent on the problem of e...
Joseph Gil, Alon Itai
ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
13 years 12 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
SSD
2009
Springer
180views Database» more  SSD 2009»
14 years 2 days ago
Indexing Moving Objects Using Short-Lived Throwaway Indexes
With the exponential growth of moving objects data to the Gigabyte range, it has become critical to develop effective techniques for indexing, updating, and querying these massive ...
Jens Dittrich, Lukas Blunschi, Marcos Antonio Vaz ...
ICALP
2005
Springer
13 years 11 months ago
New Approaches for Virtual Private Network Design
Virtual Private Network Design is the following NP-hard problem. We are given a communication network, represented as a weighted graph with thresholds on the nodes which represent...
Friedrich Eisenbrand, Fabrizio Grandoni, Gianpaolo...