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» Physical modeling of data warehouses using UML
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DKE
2007
107views more  DKE 2007»
13 years 9 months ago
A clustering method based on path similarities of XML data
Current studies on the storage of XML data are focused on either the efficient mapping of XML data onto an existing RDBMS or the development of a native XML storage. Some native X...
Il-Hwan Choi, Bongki Moon, Hyoung-Joo Kim
JFR
2006
88views more  JFR 2006»
13 years 9 months ago
Discovering natural kinds of robot sensory experiences in unstructured environments
We derive categories directly from robot sensor data to address the symbol grounding problem. Unlike model-based approaches where human intuitive correspondences are sought betwee...
Daniel H. Grollman, Odest Chadwicke Jenkins, Frank...
AAAI
2008
13 years 11 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
BMCBI
2008
134views more  BMCBI 2008»
13 years 9 months ago
Prediction of protein-protein binding site by using core interface residue and support vector machine
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
Nan Li, Zhonghua Sun, Fan Jiang
VISUALIZATION
2000
IEEE
14 years 1 months ago
A continuous clustering method for vector fields
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
Harald Garcke, Tobias Preußer, Martin Rumpf,...