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.
標簽： multi-platform interfaces GTK graphical
上傳時間： 2016-10-13
上傳用戶：ve3344
Multi-label classification 和weka集成
標簽： classification Multi-label weka 集成
上傳時間： 2013-12-13
上傳用戶：bibirnovis
ARM S3C2410硬件手冊重點 a.Memory Controller b.Nand Flash c.UART d.Interrupt e.Timer
標簽： Controller Interrupt S3C2410 Memory
上傳時間： 2013-12-17
上傳用戶：懶龍1988
Discription: This multi-master driver provides the software interface to the I2C Bus hardware of the M3062x series of MitsubishiMCU.
標簽： multi-master Discription interface the
上傳時間： 2016-10-28
上傳用戶：ljt101007
Multicast Algorithms for Multi-Channel Wireless Mesh Networks
標簽： Multi-Channel Algorithms Multicast Wireless
上傳時間： 2014-01-12
上傳用戶：as275944189
MSP430F1610 generates a sine wave from a look up table using timer interrupt.
標簽： generates interrupt F1610 table
上傳時間： 2016-10-31
上傳用戶：hustfanenze
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 & XOUT is required for ACLK
標簽： character interrupt received triggers
上傳時間： 2016-10-31
上傳用戶：rishian
RBFMIP is a package for training multi-instance RBF neural networks
標簽： multi-instance networks training package
上傳時間： 2014-01-23
上傳用戶：refent
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
標簽： package multi-label includes networks
上傳時間： 2013-12-05
上傳用戶：xsnjzljj
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 representation
標簽： multi-instance multi-insta adapting learning
上傳時間： 2014-01-14
上傳用戶：manlian
