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VLDB
2000
ACM
136views Database» more  VLDB 2000»
14 years 17 days ago
Managing Intervals Efficiently in Object-Relational Databases
Modern database applications show a growing demand for efficient and dynamic management of intervals, particularly for temporal and spatial data or for constraint handling. Common...
Hans-Peter Kriegel, Marco Pötke, Thomas Seidl
NIPS
2003
13 years 10 months ago
Link Prediction in Relational Data
Many real-world domains are relational in nature, consisting of a set of objects related to each other in complex ways. This paper focuses on predicting the existence and the type...
Benjamin Taskar, Ming Fai Wong, Pieter Abbeel, Dap...
ML
2011
ACM
179views Machine Learning» more  ML 2011»
13 years 4 months ago
Neural networks for relational learning: an experimental comparison
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
Werner Uwents, Gabriele Monfardini, Hendrik Blocke...
TIME
1994
IEEE
14 years 1 months ago
A Temporal Structure that Distinguishes between the Past, Present, and Future
We present a two dimensional temporal structure that has an ever changing present. Relative to each present, there is a past and future. The main representational advantage our tw...
André Trudel
ICML
2009
IEEE
14 years 9 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint