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» Data Modelling in Complex Application Domains
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NIPS
1998
14 years 11 months ago
Controlling the Complexity of HMM Systems by Regularization
This paper introduces a method for regularization of HMM systems that avoids parameter overfitting caused by insufficient training data. Regularization is done by augmenting the E...
Christoph Neukirchen, Gerhard Rigoll
EDBT
2006
ACM
202views Database» more  EDBT 2006»
15 years 9 months ago
Bridging Physical and Virtual Worlds: Complex Event Processing for RFID Data Streams
Advances of sensor and RFID technology provide significant new power for humans to sense, understand and manage the world. RFID provides fast data collection with precise identific...
Fusheng Wang, Shaorong Liu, Peiya Liu, Yijian Bai
DEXA
1998
Springer
152views Database» more  DEXA 1998»
15 years 1 months ago
Facilitating Virtual Representation of CAD Data Through A Learning Based Approach to Conceptual Database Evolution Employing Dir
This paper presents a framework for a learning based approach to dynamically evolve the conceptual structure of a database in order to facilitate virtual representation of data in ...
Awais Rashid, Peter Sawyer
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
15 years 4 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...
DBPL
1989
Springer
165views Database» more  DBPL 1989»
15 years 1 months ago
Support for Data-Intensive Applications: Conceptual Design and Software Development
In the process of developing an Information System, one passes through stages that include requirements gathering, design specification, and software implementation. The purpose ...
Alexander Borgida, John Mylopoulos, Joachim W. Sch...