2925 search results - page 321 / 585 » Input Modeling Using Quantile Statistical Methods |
125
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BMCBI
2010
15 years 8 days ago
2010
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
107
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GECCO
2005
Springer
15 years 6 months ago
2005
Springer
The paper presents an extension of Vose’s Markov chain model for genetic algorithm (GA). The model contains not only standard genetic operators such as mutation and crossover bu...
128
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ILP
1999
Springer
15 years 5 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
ACL
2006
15 years 2 months ago
2006
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
94
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WSC
1998
15 years 2 months ago
1998
Simulation optimization is rapidly becoming a mainstream tool for simulation practitioners. Simulation optimization is the practice of linking an optimization method with a simula...