102 search results - page 6 / 21 » VDCBPI: an Approximate Scalable Algorithm for Large POMDPs |
ICDM
2009
IEEE
14 years 1 months ago
2009
IEEE
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
We propose a variant of Orthogonal Matching Pursuit (OMP), called LoCOMP, for scalable sparse signal approximation. The algorithm is designed for shift-invariant signal dictionari...
ICML
2009
IEEE
14 years 7 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...