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HICSS
2000
IEEE
169views Biometrics» more  HICSS 2000»
15 years 8 months ago
A Software System for Spatial Data Analysis and Modeling
Advances in geographical information systems (GIS) and supporting data collection technology has resulted in the rapid collection of a huge amount of spatial data. However, known ...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
TSP
2011
90views more  TSP 2011»
14 years 10 months ago
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning
—Radar high-resolution range profiles (HRRPs) are typical high-dimensional, non-Gaussian and interdimension dependently distributed data, the statistical modelling of which is a...
Lei Shi, Penghui Wang, Hongwei Liu, Lei Xu, Zheng ...
146
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AMAI
2004
Springer
15 years 9 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
ICML
2009
IEEE
16 years 4 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
IDA
2002
Springer
15 years 3 months ago
Online classification of nonstationary data streams
Most classification methods are based on the assumption that the data conforms to a stationary distribution. However, the real-world data is usually collected over certain periods...
Mark Last