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WSC
2008
15 years 9 months ago
Nonlinear process modeling and optimization based on Multiway Kernel Partial Least Squares model
MKPLS (Multiway Kernel Partial Least Squares) methods are used to model the batch processes from process operational data. To improve the optimization performance, a batch-to-batc...
Liqing Di, Zhihua Xiong, XianHui Yang
216
Voted
NIPS
1992
15 years 8 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
177
Voted
ICWE
2007
Springer
16 years 1 months ago
On the Quality of Navigation Models with Content-Modification Operations
Initially, web development methods focused on the generation of read-only web applications for browsing the data stored in relational database systems. Lately, many have evolved to...
Jordi Cabot, Jordi Ceballos, Cristina Gómez
177
Voted
WSC
1997
15 years 8 months ago
Seven Habits of Highly Successful Input Modelers
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
Lawrence Leemis
179
Voted
FGCN
2008
IEEE
155views Communications» more  FGCN 2008»
15 years 8 months ago
Modeling the Marginal Distribution of Gene Expression with Mixture Models
We report the results of fitting mixture models to the distribution of expression values for individual genes over a broad range of normal tissues, which we call the marginal expr...
Edward Wijaya, Hajime Harada, Paul Horton