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ESSMAC
2003
Springer
15 years 9 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
ADVIS
2004
Springer
15 years 8 months ago
On Families of New Adaptive Compression Algorithms Suitable for Time-Varying Source Data
In this paper, we introduce a new approach to adaptive coding which utilizes Stochastic Learning-based Weak Estimation (SLWE) techniques to adaptively update the probabilities of t...
Luís G. Rueda, B. John Oommen
SSDBM
2006
IEEE
162views Database» more  SSDBM 2006»
15 years 10 months ago
On-line Aggregation and Filtering of Pattern-based Queries
We consider an environment where a subscription system continuously evaluates pattern-based requests over unbounded sequential data. We propose an extension of the traditional pat...
Cédric du Mouza, Philippe Rigaux, Michel Sc...
VLDB
1987
ACM
75views Database» more  VLDB 1987»
15 years 8 months ago
The POSTGRES Data Model
The design of the POSTGRES data model is described. The data model is a relational model that has been extended with abstract data types including user-defined operators and proce...
Lawrence A. Rowe, Michael Stonebraker
AAAI
2000
15 years 5 months ago
STA: Spatio-Temporal Aggregation with Applications to Analysis of Diffusion-Reaction Phenomena
Spatio-temporal data sets arise when time-varying physical fields are discretized for simulation or analysis. Examples of time-varying fields are isothermal regions in the sea or ...
Iván Ordóñez, Feng Zhao