5096 search results - page 369 / 1020 » Landscape of Clustering Algorithms |
168
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SETN
2004
Springer
16 years 2 days ago
2004
Springer
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
186
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
184
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AAAI
2007
15 years 9 months ago
2007
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
174
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CLASSIFICATION
2007
15 years 6 months ago
2007
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
225
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SODA
2012
ACM
13 years 9 months ago
2012
ACM
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...