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IEEE2d
Kernel Ridge Regression with Lagged-Dependent Variable: Applications to Prediction of Internal Bond Strength in a Medium Density Fiberboard Process
Kernel-based regression approaches such as the support vector machine for regression have been used to predict the final product quality characteristics of MDF. However, existing approaches for the ...
Semiconductor Engineering4d
Towards Base-Station-On-Chip: Wireless Communication Kernels On A RISC-V Vector Processor (TU Dresden, CeTI)
RISC-V Hardware Acceleration for wireless communication” was published by researchers at TU Dresden and Centre for Tactile ...
Semiconductor Engineering3d
Introducing GICv5: Scalable And Secure Interrupt Management For Arm
A new GIC Stream protocol ensures interoperability between CPU interfaces and IRS. While the programming model isn’t backward ...
archive5d
An introduction to support vector machines : and other kernel-based learning methods
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...