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SADM
2010
196views more  SADM 2010»
13 years 4 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
CORR
2012
Springer
170views Education» more  CORR 2012»
12 years 5 months ago
What Cannot be Learned with Bethe Approximations
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...
Uri Heinemann, Amir Globerson
DAGM
2003
Springer
14 years 3 months ago
Hierarchy of Partitions with Dual Graph Contraction
Abstract. We present a hierarchical partitioning of images using a pairwise similarity function on a graph-based representation of an image. This function measures the difference ...
Yll Haxhimusa, Walter G. Kropatsch
WAIM
2000
Springer
14 years 1 months ago
An Object Oriented Multidimensional Data Model for OLAP
Online Analytical Processing (OLAP) data is frequently organized in the form of multidimensional data cubes each of which is used to examine a set of data values, called measures, ...
Nguyen Thanh Binh, A. Min Tjoa, Roland Wagner
IFIP
2009
Springer
13 years 7 months ago
Consistency Analysis of Network Traffic Repositories
Traffic repositories with TCP/IP header information are very important for network analysis. Researchers often assume that such repositories reliably represent all traffic that has...
Elmer Lastdrager, Aiko Pras