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» Embedding Heterogeneous Data Using Statistical Models
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EMNLP
2010
13 years 8 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
OTM
2009
Springer
14 years 5 months ago
Heterogeneity and Context in Semantic-Web-Enabled HCLS Systems
The need for semantics preserving integration of complex data has been widely recognized in the healthcare domain. While standards such as Health Level Seven (HL7) have been develo...
Antoine Zimmermann, Ratnesh Sahay, Ronan Fox, Axel...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
14 years 7 days ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...
CSSE
2008
IEEE
14 years 5 months ago
Modeling and Implementation for Embedded DC Motor Ethernet Control System
—In this paper, a model of Embedded DC Motor Ethernet Control System is proposed with analysis on transmission time delay and data packet dropout. Based on this model, the ECS is...
Lingbo Zhu, Guanzhong Dai, Li Shin, Xuefang Lin-Sh...
ER
2003
Springer
550views Database» more  ER 2003»
14 years 4 months ago
A UML Based Approach for Modeling ETL Processes in Data Warehouses
Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) proces...
Juan Trujillo, Sergio Luján-Mora