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【Other resource】最后期限 DL : 0: 亚马逊网上书店、巴诺书店最佳畅销书《最后期限》汤姆·迪马可（Tom DeMarco）是大西洋系统行会（www.atlsysguild.com）的负责人之一，同时他也是多塞特家族出版社的三本畅销书（《人件》（将于今年4月在清华大学出版社引进出版），与蒂姆·利斯特合著的《软件艺术的状态》（Software State-of-the-Art），以及《为何软件开销那么大？》（Why Does Software Cost So Much?）和一套基础培训录像（与蒂姆·利斯特合作的《高产团队》）的作者。-Amazon online bookstore, Barno Bookstore, the best-selling novel "final deadline" Mudima soup can (Tom DeMarco) is the Atlantic system will be OK (www.atlsysguild.com), the head of one of his family is Dorset Press three best-selling book ( "people pieces" (to be held in April this year in the introduction of Qinghua University Press published), co-authored with Dimulishite the "state of the art of software" (Software State-of-the-Art), and "why so much software overhead?" (Why Does Software Cost So Much ) and a set of basic training video (Dimulishite cooperation with the "high production team") the authors.
Update : 2008-10-13 Size : 85679 Publisher : XQ
【Other resource】 LVQ学习矢量化算法 DL : 0: LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
Update : 2008-10-13 Size : 38398 Publisher : 张伟华
【Software Engineering】最后期限 DL : 0: 亚马逊网上书店、巴诺书店最佳畅销书《最后期限》汤姆·迪马可（Tom DeMarco）是大西洋系统行会（www.atlsysguild.com）的负责人之一，同时他也是多塞特家族出版社的三本畅销书（《人件》（将于今年4月在清华大学出版社引进出版），与蒂姆·利斯特合著的《软件艺术的状态》（Software State-of-the-Art），以及《为何软件开销那么大？》（Why Does Software Cost So Much?）和一套基础培训录像（与蒂姆·利斯特合作的《高产团队》）的作者。-Amazon online bookstore, Barno Bookstore, the best-selling novel "final deadline" Mudima soup can (Tom DeMarco) is the Atlantic system will be OK (www.atlsysguild.com), the head of one of his family is Dorset Press three best-selling book ( "people pieces" (to be held in April this year in the introduction of Qinghua University Press published), co-authored with Dimulishite the "state of the art of software" (Software State-of-the-Art), and "why so much software overhead?" (Why Does Software Cost So Much ) and a set of basic training video (Dimulishite cooperation with the "high production team") the authors.
Update : 2024-04-19 Size : 84992 Publisher : XQ
【AI-NN-PR】 LVQ学习矢量化算法 DL : 0: LVQ学习矢量化算法源程序 This directory contains code implementing the Learning vector quantization network. Source code may be found in LVQ.CPP. Sample training data is found in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The LVQ program accepts input consisting of vectors and calculates the LVQ network weights. If a test set is specified, the winning neuron (class) for each neuron is identified and the Euclidean distance between the pattern and each neuron is reported. Output is directed to the screen.-LVQ learning vector algorithm This directory contains source co de implementing the Learning vector quantizat ion network. Source code may be found in LVQ.CPP . Sample training data is found in LVQ1.PAT. Sam ple test data is found in LVQTEST1.TST and LVQTE ST2.TST. The program accepts input LVQ consist ing of vectors and calculates the network we LVQ ights. If a test set is specified, the winning Neurology (class) for each of Neurology is id entified and the Euclidean distance between th e pattern and each of Neurology is reported. Output is directed to the screen.
Update : 2024-04-19 Size : 37888 Publisher : 张伟华
【AI-NN-PR】 RBF-nn DL : 0: 4输入层，３隐层，２输出层的RBF神经网络分类器附有测试和训练样本-four input layer, hidden layer 3, the output layer 2 RBF neural network classifiers with testing and training samples
Update : 2024-04-19 Size : 7168 Publisher : wh
【ADO-ODBC】 DataMining DL : 0: SQL2005 数据挖掘平台培训,培训讲师: 赵亚军、王如涛—北京迈思奇科技有限公司-SQL2005 data mining platform for the training of lecturers: Yajun, Wang Tao- Beijing迈思奇Technology Co., Ltd.
Update : 2024-04-19 Size : 2566144 Publisher :
【Other】 Single-chip-experiment-and-practice-of-training-co DL : 0: 以80C51内核单片机为核心的DP51PRO单片机综合仿真实验仪入手，介绍如何进行单片机实验，逐步引导读者掌握使用80C51内核单片机进行开发的方法。《单片机实验与实践》共分4章，第1章简单介绍DP51PRO单片机综合仿真实验仪的结构和功能；第2章详细介绍Keil μVision2集成开发环境的使用方法和使用样例，最后还介绍了DP51PRO单片机综合仿真实验仪的各部分硬件原理和使用方法；第3章介绍39个单片机接口及应用实验；第4章简单介绍在Small RTOS51下的驱动程序的编写方法，并以DP51PRO单片机综合仿真实验仪为硬件平台，详细叙述了LCD和I2C的驱动程序编写。《单片机实验与实践》可供高等院校或单片机培训班学生使用，也可供广大单片机开发人员学习和参考。 -80C51 microcontroller core to the core simulation DP51PRO instrument Single-chip integrated approach on how to carry out single-chip experiment, step by step guide readers to master the use of single-chip microcomputer 80C51 core development approach. "Single-chip experiment and practice," is divided into four chapters, Chapter 1 briefly DP51PRO integrated single-chip simulation of the structure and function of Miriam Chapter 2 details Keil μVision2 use integrated development environment and the use of sample, and finally also introduced an integrated single-chip simulation DP51PRO instrument parts of theory and the use of hardware Chapter 3 introduced 39 single-chip interface and application experiments Chapter 4 briefly under the Small RTOS51 driver preparation methods, and simulation DP51PRO integrated single-chip hardware platform for the instrument, detailed description of the drive LCD and I2C programming. "Single-chip experiment and practice of" training courses for st
Update : 2024-04-19 Size : 36180992 Publisher : ZR
【Windows Develop】 a DL : 0: Matlab矢量量化图像压缩程序矢量量化VQ，是一个常见的压缩技术。Linde, Buzo, and Gray 提出了基于训练序列的Vector Quantization (VQ)算法。-Matlab vector quantization image compression procedures for vector quantization VQ, is a common compression technology. Linde, Buzo, and Gray proposed based on training sequence of Vector Quantization (VQ) algorithm.
Update : 2024-04-19 Size : 47104 Publisher : adu
【Mathimatics-Numerical algorithms】 SemiSupervisedLearning DL : 0: 第一本全面的半监督学习参考书，里面涵盖了半监督方面的各种算法，应用，以及理论证明-This is a comprehensive reference of semi-surpervised learning, including the algrithms, application, and the proof in theory.
Update : 2024-04-19 Size : 5501952 Publisher : 高阳
【Special Effects】 2009Based_on_Co-Training DL : 0: Co-Training的协同目标跟踪内容，感兴趣的看看吧-Co-Training for collaborative target tracking content, of interest to see it
Update : 2024-04-19 Size : 273408 Publisher : 水中青蛙
【AI-NN-PR】 co-training DL : 0: 半监督学习co-training 回归算法的java代码实现。-COREG is a co-training style semi-supervised regression algorithm, which employs two kNN regressors using different distance metrics to select the most confidently labeled unlabeled examples for each other.
Update : 2024-04-19 Size : 14336 Publisher : lazi
【matlab】 CoTrade DL : 0: COTRADE算法通过MATLAB编写，通过数据和修改相关技术，实现了传统的协同算法的加强-The package includes the MATLAB code of COTRADE, which is designed for enhancing traditional co-training algorithm by incorporating data editing techniques.
Update : 2024-04-19 Size : 112640 Publisher :
【JSP/Java】 java-Training-beijing DL : 0: 北京圣思园教育科技有限公司第一期面授培训大纲 -Beijing SAN think the education science and technology Co., LTD, the first period face to award Training outline
Update : 2024-04-19 Size : 747520 Publisher : 李好
【AI-NN-PR】 libsvm-3.11 DL : 0: co-training协同训练算法研究 svm工具箱-co-training self-training
Update : 2024-04-19 Size : 623616 Publisher : beyond
【Multimedia Develop】 pixeltrack_v0.1 DL : 0: a novel algorithm for fast tracking of generic objects in videos. The algorithm uses two components: a detector that makes use of the generalised Hough transform with pixel-based descriptors, and a probabilistic segmentation method based on global models for foreground and background. These components are used for tracking in a combined way, and they adapt each other in a co-training manner. Through effective model adaptation and segmentation, the algorithm is able to track objects that undergo rigid and non-rigid deformations and considerable shape and appearance variations. The proposed tracking method has been thoroughly evaluated on challenging standard videos, and outperforms state-of-the-art tracking methods designed for the same task. Finally, the proposed models allow for an extremely efficient implementation, and thus tracking is very fast.
Update : 2024-04-19 Size : 66560 Publisher : 李文博
【source in ebook】 MT5000-training-senior DL : 0: 触摸屏作为一种人机界面，是操作人员和机械设备之间做双向沟通的桥梁，用户可以自由组合文字、按钮、图形、数字等来处理或者监控管理及应付随时可能变化信息的多功能显示屏幕。随着机械设备的飞速发展，以往的操作界面需由熟练的操作员才能操作，而且操作困难，无法提高工作效率。但是使用人机界面能够明确指示并告知操作员机器设备目前的状况，使操作变的简单生动，并且可以减少操作上的失误，即使新手也可以很轻松的操作整个机器设备。使用人机界面还可以使机器的配线标准化、简单化，同时也能减少PLC控制器所需的I/O点数，降低生产的成本同时由于面板控制的小型化及高性能，相对提高了整套设备的附加价值。 -As a touch-screen interface, is doing between the operator and the two-way bridge between mechanical equipment, the user can freely combine text, buttons, graphics, digital, etc. to handle or deal with monitoring and management and are subject to change information multifunction display screen . With the rapid development of machinery and equipment, the previous user interface needs to be operated by a skilled operator, and operating difficulties to improve work efficiency. However, the use of man-machine interface capable of clear instructions and tell the operator the current status of machinery and equipment, so that the operation becomes simple and vivid, and can reduce operational errors, even a novice can easily operate the entire machinery and equipment. You can also make use of HMI machine wiring standardization and simplification, while also reducing the required PLC controller I/O points, while reducing the cost of production due to the miniaturization and high performance co
Update : 2024-04-19 Size : 563200 Publisher :
【matlab】 7----Co-training-A-SEMI-SUPERVISED-ENSEMBLE-LEARN DL : 0: 7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6-7 - Co-training A SEMI-SUPERVISED ENSEMBLE LEARNING ALGORITHM-6
Update : 2024-04-19 Size : 104448 Publisher : MUSTAFA
【Windows Develop】 cotraining-master DL : 1: 用java实现了co-training，用于少量标注数据来获取大量的标注数据，也在于解决数据不均衡问题(This is an algorithm for aspect-based sentiment analysis using co-training, a semi-supervised machine learning algorithm that partitions the machine learning features into two sufficient and uncorrelated "views" and then self-learns.)
Update : 2024-04-19 Size : 12863488 Publisher : xiexie2011
【Other】 CoTrade DL : 0: The package includes the Matlab code of COINS, which is designed for learning from multi-label data under the inductive semi-supervised setting by adapting the co-training techniques. Source code as well as running demo are included in the package.
Update : 2024-04-19 Size : 112640 Publisher : zara-90
【AI-NN-PR】 co-training DL : 0: matlab实现co-training算法，数据集mutiple+Features(Matlab implements co-training algorithm, data set mutiple+Features.)
Update : 2024-04-19 Size : 713728 Publisher : haiyunzhangzhang

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