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slim_soft
移动最小二乘法求曲面谷脊线，并立体呈现
参考文献：Sparse Low-degree Implicit Surfaces with Applications to
High Quality Rendering, Feature Extraction, and Smoothing(To obtain the valley ridge moving least square method, and three-dimensional rendering)
- 2014-08-22 22:55:24下载
- 积分：1
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MTUlberta
University of Ulberta tutorials on magnetotelluric method. Matlab codes
- 2014-11-25 21:04:05下载
- 积分：1
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M
说明： 字典树的基本功能是用来查询某个单词（前缀）在所有单词中出现次数的一种数据结构，它的插入和查询复杂度都为O(len),Len为单词（前缀）长度，但是它的空间复杂度却非常高，如果字符集是26个字母，那每个节点的度就有26个，典型的以空间换时间结构。(The basic function of the dictionary tree data structure is used to query a number of times a word (prefix) appears in all the words, which insertion and query complexity are O (len), Len is a word (prefix) length, but its space complexity is very high, if the character set is 26 letters, and that the degree of each node will have 26, the typical structure of space for time.)
- 2013-11-29 14:28:52下载
- 积分：1
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3_1_1sigmoi
3－1 型sigmoid网络的matlab原程序，可以直接运行(3-1 type sigmoid network matlab original procedures, can be directly run)
- 2008-06-14 15:21:03下载
- 积分：1
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shujunihe
说明： 数据拟合分析源码，Matlab数理统计与分析上案例分析，希望对您有用(stepwise analy source)
- 2011-03-27 15:34:28下载
- 积分：1
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MATLABGUI
关于MATLAB的GUI界面学习。可以从这个程序中学习GUI界面的编程。(About the MATLAB GUI interface to learn.You can learn from this program GUI interface programming.)
- 2013-10-16 19:45:51下载
- 积分：1
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ICA
ICA Algorithm in power system
- 2015-01-02 10:23:08下载
- 积分：1
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sushiduanjifa
改程序为叶片振动在线检测的速矢端迹法程序，有研究叶片振动在线检测的朋友可以参考(Change the procedure for the blade vibration online testing of hodograph method procedures, research blade vibration online testing can refer a friend)
- 2021-03-10 11:49:27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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Fibonacci
本文采用Fibonacci算法计算已知式子的最值并找到此时自变量的值(In this paper, formula known Fibonacci algorithm to find the best value and the value of the independent variables at this time)
- 2011-04-20 22:13:13下载
- 积分：1
