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» Forecasting high-dimensional data
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FOCS
2006
IEEE
15 years 5 months ago
The Effectiveness of Lloyd-Type Methods for the k-Means Problem
We investigate variants of Lloyd’s heuristic for clustering high dimensional data in an attempt to explain its popular
Rafail Ostrovsky, Yuval Rabani, Leonard J. Schulma...
ATAL
2003
Springer
15 years 5 months ago
An evolving multi agent system for meteorological alerts
The Australian Bureau of Meteorology has a requirement for complex and evolving systems to manage its weather forecasting, monitoring and alerts. This paper describes an agent-bas...
Sandy Dance, Malcolm Gorman, Lin Padgham, Michael ...
ICDE
2008
IEEE
162views Database» more  ICDE 2008»
16 years 1 months ago
Querying Complex Spatio-Temporal Sequences in Human Motion Databases
Content-based retrieval of spatio-temporal patterns from human motion databases is inherently nontrivial since finding effective distance measures for such data is difficult. These...
Yueguo Chen, Shouxu Jiang, Beng Chin Ooi, Anthony ...
ICDE
2008
IEEE
165views Database» more  ICDE 2008»
16 years 1 months ago
Online Failure Forecast for Fault-Tolerant Data Stream Processing
In this paper, we present a new online failure forecast system to achieve predictive failure management for fault-tolerant data stream processing. Different from previous reactive ...
Xiaohui Gu, Spiros Papadimitriou, Philip S. Yu, Sh...
CSDA
2006
66views more  CSDA 2006»
14 years 12 months ago
A dynamic model of expected bond returns: A functional gradient descent approach
We propose a multivariate methodology based on Functional Gradient Descent to estimate and forecast time-varying expected bond returns. Backtesting our procedure on US monthly dat...
Francesco Audrino, Giovanni Barone-Adesi