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» Update on economic approach to simulation selection problems
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NIPS
2003
14 years 11 months ago
Hierarchical Topic Models and the Nested Chinese Restaurant Process
We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
COR
2006
99views more  COR 2006»
14 years 9 months ago
Artificial neural networks and multicriterion analysis for sustainable irrigation planning
The objective of the present paper is to select the best compromise irrigation planning strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Four-phase...
K. Srinivasa Raju, D. Nagesh Kumar, Lucien Duckste...
PKDD
2010
Springer
158views Data Mining» more  PKDD 2010»
14 years 8 months ago
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach
In this paper, we introduce a simple but efficient greedy algorithm, called SINCO, for the Sparse INverse COvariance selection problem, which is equivalent to learning a sparse Ga...
Katya Scheinberg, Irina Rish
ICASSP
2011
IEEE
14 years 1 months ago
A frame mapping based HMM approach to cross-lingual voice transformation
Cross-lingual voice transformation is challenging when source language (L1) and target language (L2) are very different in corresponding phonetics and prosodies. We propose a fram...
Yao Qian, Ji Xu, Frank K. Soong
WSC
2007
15 years 2 days ago
Hierarchical planning and multi-level scheduling for simulation-based probabilistic risk assessment
Simulation of dynamic complex systems—specifically, those comprised of large numbers of components with stochastic behaviors—for the purpose of probabilistic risk assessment f...
Hamed Nejad, Dongfeng Zhu, Ali Mosleh