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ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
14 years 1 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
WCNC
2008
IEEE
14 years 2 months ago
Analysis of Interference from Large Clusters as Modeled by the Sum of Many Correlated Lognormals
Abstract—We examine the statistical distribution of the interference produced by a cluster of very many co-channel interferers, e.g., a sensor network, or a city full of active w...
Sebastian S. Szyszkowicz, Halim Yanikomeroglu
ICML
1991
IEEE
13 years 11 months ago
Simulating Stages of Human Cognitive Development With Connectionist Models
The psychological literature on stages of cognitive development was reviewed and found to contain support for the idea that stages represent ordinal, qualitative changes in organi...
Thomas R. Shultz
CIDM
2007
IEEE
14 years 2 months ago
K2GA: Heuristically Guided Evolution of Bayesian Network Structures from Data
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
Eli Faulkner
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
13 years 9 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava