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AUTOMATICA
2006
152views more  AUTOMATICA 2006»
14 years 12 months ago
Simulation-based optimization of process control policies for inventory management in supply chains
A simulation-based optimization framework involving simultaneous perturbation stochastic approximation (SPSA) is presented as a means for optimally specifying parameters of intern...
Jay D. Schwartz, Wenlin Wang, Daniel E. Rivera
DAC
2007
ACM
16 years 24 days ago
Beyond Low-Order Statistical Response Surfaces: Latent Variable Regression for Efficient, Highly Nonlinear Fitting
The number and magnitude of process variation sources are increasing as we scale further into the nano regime. Today's most successful response surface methods limit us to lo...
Amith Singhee, Rob A. Rutenbar
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
14 years 9 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
BMCBI
2010
99views more  BMCBI 2010»
14 years 12 months ago
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
Background: It has been apparent in the last few years that small non coding RNAs (ncRNA) play a very significant role in biological regulation. Among these microRNAs (miRNAs), 22...
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, As...
CSI
2008
95views more  CSI 2008»
14 years 12 months ago
Feasibility and infrastructural study of AR interfacing and intuitive simulation on 3D nonlinear systems
High-fidelity simulations with intuitive user interfaces expedite real-world tasks. Augmented Reality (AR), enables 3D computer-generated entities to coexist in users' view o...
Seungjun Kim, Nitaigour-Premchand Mahalik, Anind K...