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WSC
1998
15 years 7 months ago
Identifying Important Factors in Deterministic Investment Problems Using Design of Experiments
For large investment projects sensitivity analysis is an important tool to determine which factors need further analysis and/or can jeopardize the future of a project. In practice...
Willem J. H. Van Groenendaal, Jack P. C. Kleijnen
FSMNLP
2008
Springer
15 years 7 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
ICSE
1998
IEEE-ACM
15 years 10 months ago
Calibrating the COCOMO II Post-Architecture Model
The COCOMO II model was created to meet the need for a cost model that accounted for future software development practices. This resulted in the formulation of three submodels for...
Bradford Clark, Sunita Devnani-Chulani, Barry W. B...
PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 4 months ago
Sparse Unsupervised Dimensionality Reduction Algorithms
Abstract. Principal component analysis (PCA) and its dual—principal coordinate analysis (PCO)—are widely applied to unsupervised dimensionality reduction. In this paper, we sho...
Wenjun Dou, Guang Dai, Congfu Xu, Zhihua Zhang
ISNN
2004
Springer
15 years 11 months ago
A Novel Clustering Analysis Based on PCA and SOMs for Gene Expression Patterns
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
Hong-Qiang Wang, De-Shuang Huang, Xing-Ming Zhao, ...