879 search results - page 98 / 176 » Forecasting high-dimensional data |
ENVSOFT
2006
14 years 10 months ago
2006
: Since Keynes (1930) and Hicks (1939) propounded their theory of normal backwardation, the issue of whether hedgers must pay speculators an insurance premium has remained controve...
IJON
2010
14 years 4 months ago
2010
This paper presents a novel methodology to infer parameters of probabilistic models whose output noise is a Student-t distribution. The method is an extension of earlier work for ...
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EDBT
2009
ACM
15 years 4 months ago
2009
ACM
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
ICCSA
2005
Springer
15 years 3 months ago
2005
Springer
In this paper, we propose a new clustering procedure for high dimensional microarray data. Major difficulty in cluster analysis of microarray data is that the number of samples to ...
DAGM
2010
Springer
14 years 11 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...