9949 search results - page 311 / 1990 » On the Network Complexity of Selection |
197
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IJCNN
2006
IEEE
16 years 24 days ago
2006
IEEE
— From the Bayesian Ying-Yang (BYY) harmony learning theory, a harmony function has been developed for finite mixtures with a novel property that its maximization can make model...
172
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AUSAI
2005
Springer
16 years 9 days ago
2005
Springer
SuperParent-One-Dependence Estimators (SPODEs) loosen Naive-Bayes’ attribute independence assumption by allowing each attribute to depend on a common single attribute (superpare...
167
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IWANN
2005
Springer
16 years 8 days ago
2005
Springer
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
165
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JIPS
2006
15 years 6 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
196
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the ...