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VHDL/FPGA/Verilog // -*- Mode: Verilog -*- // Filename : wb_master.v // Description : Wishbone Master Behavorial //
// -*- Mode: Verilog -*-
// Filename : wb_master.v
// Description : Wishbone Master Behavorial
// Author : Winefred Washington
// Created On : 2002 12 24
// Last Modified By: .
// Last Modified On: .
// Update Count : 0
// Status : Unknown, Use with caution!
// Description Specification
// General ...
其他 Multi-label classification 和weka集成
Multi-label classification
和weka集成
嵌入式/单片机编程 SPI Master Core Specification
SPI Master Core Specification,This document provides specifications for the SPI (Serial Peripheral Interface) Master core
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 profibus Master Slave PROGRAMS profibus Master Slave PROGRAMS
profibus Master Slave PROGRAMS
profibus Master Slave PROGRAMS
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
单片机开发 MICROCHIP 實現I2C的 Master 端 (Firmware) 及 Slave 端 (Hardware) 相對應的程式範例
MICROCHIP 實現I2C的 Master 端 (Firmware) 及 Slave 端 (Hardware) 相對應的程式範例