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» A framework to model real-time databases
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TSP
2008
167views more  TSP 2008»
15 years 2 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
ECIR
2006
Springer
15 years 5 months ago
A Declarative DB-Powered Approach to IR
We present a prototype system using array comprehensions to bridge the gap between databases and information retrieval. It allows researchers to express their retrieval models in t...
Roberto Cornacchia, Arjen P. de Vries
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 4 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
NGITS
1999
Springer
15 years 8 months ago
Multiplex: A Formal Model for Multidatabases and Its Implementation
The integration of information from multiple databases has been an enduring subject of research for over 20 years, and many different solutions have been attempted or proposed. Mis...
Amihai Motro
SAC
2010
ACM
15 years 11 months ago
Performance analysis of FlexRay-based systems using real-time calculus, revisited
The FlexRay protocol [4] is likely to be the de facto standard for automotive communication systems. Hence, there is a need to provide hard performance guarantees on properties li...
Devesh B. Chokshi, Purandar Bhaduri