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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
微处理器开发 ARM S3C2410硬件手册重点 a.Memory Controller b.Nand Flash c.UART d.Interrupt e.Timer
ARM S3C2410硬件手册重点
a.Memory Controller
b.Nand Flash
c.UART
d.Interrupt
e.Timer
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
单片机开发 MSP430F1610 generates a sine wave from a look up table using timer interrupt.
MSP430F1610 generates a sine wave from a look up table using timer interrupt.
单片机开发 Echo a received character, RX ISR used. Normal mode is LPM0. // USART1 RX interrupt triggers TX Ech
Echo a received character, RX ISR used. Normal mode is LPM0.
// USART1 RX interrupt triggers TX Echo.
// Baud rate divider with 1048576hz = 1048576/38400 = ~27.31 (01Bh|03h)
// ACLK = LFXT1 = 32768Hz, MCLK = SMCLK = default DCO = 32 x ACLK = 1048576Hz
// //* An external watch crystal between XIN & X ...
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 ...