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» Embedding Heterogeneous Data Using Statistical Models
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SADM
2010
196views more  SADM 2010»
14 years 7 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
BMCBI
2010
119views more  BMCBI 2010»
15 years 19 days ago
A comparison of internal validation techniques for multifactor dimensionality reduction
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
Stacey J. Winham, Andrew J. Slater, Alison A. Mots...
ESWA
2006
123views more  ESWA 2006»
15 years 16 days ago
Design of a RFID case-based resource management system for warehouse operations
In the past, the selection of resources to execute various warehouse operation services was done solely by experts. In this paper, a RFIDbased Resource Management System (RFID-RMS...
Harry K. H. Chow, King Lun Choy, W. B. Lee, K. C. ...
COMCOM
2007
82views more  COMCOM 2007»
15 years 15 days ago
On application-level load balancing in FastReplica
— In the paper, we consider the problem of distributing large-size content to a fixed set of nodes. In contrast with the most existing end-system solutions to this problem, Fast...
Jangwon Lee, Gustavo de Veciana
120
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STACS
2007
Springer
15 years 6 months ago
Small Space Representations for Metric Min-Sum k -Clustering and Their Applications
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Artur Czumaj, Christian Sohler