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voip_pf
资源调度算法。VOIP业务在PF准则下调度的性能比较。(Resource allocation algorithm. VOIP business in the PF scheduling performance comparison criterion.)
- 2010-07-28 12:23:35下载
- 积分：1
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matlab_tools
说明： MALAB程序，包括顶点覆盖近似算法,哈密尔顿回路,画等温线,模拟退火应用,生成全排列矩阵,最小生成树Prim算法,最短路径等(MALAB procedures, including vertex cover approximation algorithm, Hamilton circuit, painting isotherms, simulated annealing applications, to generate full-rank matrix, Prim minimum spanning tree algorithm, the shortest path, etc.)
- 2008-10-20 21:41:16下载
- 积分：1
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uwt
基于第二代小波的非抽样小波变换应用程序，可以用来小波转换(Non-sampling based on second generation wavelets, wavelet transform application)
- 2012-03-26 09:37:44下载
- 积分：1
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getCore
core point detection
- 2015-04-09 21:46:21下载
- 积分：1
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SA_MDVRP
程序是采用SA方式求解MDVRP问题，先对MDVRP问题进行分组，将其转化成SDVRP问题，然后采用SA算法进行计算。(this program is used to solve MDVRP problem by SA.)
- 2020-08-13 16:58:29下载
- 积分：1
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Fourier-Transform
分别用解析法和数值法求出并画出信号的幅度谱，并比较它们的结果。(Fourier Transform.)
- 2015-01-01 12:02:32下载
- 积分：1
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Chapter-Three
LPC code sample3 matlab
- 2013-05-04 15:09:47下载
- 积分：1
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untitled2
说明： 此为三相桥式全控整流电路的simulink模型搭建(Three-phase bridge type full control rectifier circuit)
- 2019-10-13 23:01:44下载
- 积分：1
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1807.01622
深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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myhuf
对文本文件进行huffman编码，并显示huffman树(to the text document for Huffman coding, and that Huffman tree)
- 2005-02-17 10:45:00下载
- 积分：1
