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单片机开发 MSP430单片机的实时多任务操作系统c源代码,MSP430 mcu Real Time multi-task operation system source
MSP430单片机的实时多任务操作系统c源代码,MSP430 mcu Real Time multi-task operation system source
Linux/Unix编程 This GTK+ version 2.12.3. GTK+ is a multi-platform toolkit for creating graphical user interfaces.
This GTK+ version 2.12.3. GTK+ is a multi-platform toolkit for
creating graphical user interfaces. Offering a complete set of widgets,
GTK+ is suitable for projects ranging from small one-off projects to
complete application suites.
其他 Multi-label classification 和weka集成
Multi-label classification
和weka集成
单片机开发 Discription: This multi-master driver provides the software interface to the I2C Bus hardware of th
Discription: This multi-master driver provides the software interface to the
I2C Bus hardware of the M3062x series of MitsubishiMCU.
通讯编程文档 Multicast Algorithms for Multi-Channel Wireless Mesh Networks
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
人工智能/神经网络 RBFMIP is a package for training multi-instance RBF neural networks
RBFMIP is a package for training multi-instance RBF neural networks
人工智能/神经网络 BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code
BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously
人工智能/神经网络 CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-instance representation to single-instance algorithms, which is quite different from existing multi-instance learning algorithms which attempt to adapt single-instance algorithms to multi-instance represen ...
人工智能/神经网络 This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Den
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
微处理器开发 FIC8120 方案 Multi-ICE
FIC8120 方案 Multi-ICE