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» Topic Modeling Ensembles
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ISCI
2008
88views more  ISCI 2008»
13 years 7 months ago
Greedy regression ensemble selection: Theory and an application to water quality prediction
This paper studies the greedy ensemble selection family of algorithms for ensembles of regression models. These algorithms search for the globally best subset of regresmaking loca...
Ioannis Partalas, Grigorios Tsoumakas, Evaggelos V...
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
13 years 7 months ago
Ensemble-on-demand Kalman filter for large-scale systems with time-sparse measurements
The ensemble Kalman filter for data assimilation involves the propagation of a collection of ensemble members. Under the assumption of time-sparse measurements, we avoid propagatin...
In Sung Kim, Bruno Otávio Soares Teixeira, ...
IJCNN
2006
IEEE
14 years 1 months ago
Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approach
—A new application of the NN ensemble technique to improve the accuracy and stability of the calculation of NN emulation Jacobians is presented. The term “emulation” is defin...
Vladimir M. Krasnopolsky
APWEB
2009
Springer
13 years 5 months ago
Core-Tag Clustering for Web 2.0 Based on Multi-similarity Measurements
Along with the development of Web2.0, folksonomy has become a hot topic related to data mining, information retrieval and social network. The tag semantic is the key for deep under...
Yexi Jiang, Changjie Tang, Kaikuo Xu, Lei Duan, Li...
COLING
2008
13 years 9 months ago
Modeling Chinese Documents with Topical Word-Character Models
As Chinese text is written without word boundaries, effectively recognizing Chinese words is like recognizing collocations in English, substituting characters for words and words ...
Wei Hu, Nobuyuki Shimizu, Hiroshi Nakagawa, Huanye...