花费 1959ms 找到1879570条记录
1 Generalized Reduced Gradient algorithm in C
2013年02月09 - I am working on some science project and I need the C language implementation of Generalized Reduced Gradient algorithm for non-linear optimization.
2 Generalized Reduced Gradient (GRG2) Algorithm in R
2013年03月02 - Does anyone know which R package has the implementation of Generalized Reduced Gradient (GRG2) Algorithm ? thanks 有谁知道哪个R包具有广义缩减梯度(GRG2)算法的实现?谢谢
3 Ukkonen's algorithm for Generalized Suffix Trees
2015年02月02 - I am currently working on my own Suffix Tree implementation (using C++, but the question remains language agnostic). I studied the original paper
4 Implementing “Gradient Descent Algorithm” in Matlab
2015年04月11 - I'm solving a programming assignment in Machine Learning course. In which I've to implement Gradient Descent Algorithm like below 我正在解一个机器学习课程的编程作业
5 Gradient descent algorithm won't converge
2011年10月16 - I'm trying to write out a bit of code for the gradient descent algorithm explained in the Stanford Machine Learning lecture (lecture 2 at around 25
6 KNN算法改进:泛化实例算法(Generalized Instance Set Algorithm,GIS)
2012年08月12 - 更可能是noise。根据这一思想,GIS算法试图构造出一个基于training集合的泛化实例集合(a set of generalized instances),来代替原始的training集合。   GIS算法可以简单描述如下:首先随即选择一个当前category C的positive实例(设为G
7 Rewriting Matlab eig(A,B) (Generalized eigenvalues/eigenvectors) to C/C++
2015年05月14 - Do anyone have any idea how can I rewrite eig(A,B) from Matlab used to calculate generalized eigenvector/eigenvalues? I've been struggling
8 caffe学习笔记(10):Gradient descent optimization algorithm
2016年05月23 - solver的方法解决了使loss最小化的问题,给定一个dataset(D),优化的对象就是求loss的平均值: 当数据集D很大时,利用mini-batch of N<<|D| instances计算loss:GD方法有以下六种: 1. Stochastic Gradient
9 How can I get my fraction results reduced in this C Code?
2015年11月18 - ; printf("%s: ", prompt); scanf("%d", &res); return res; } main() { int add,sub,mul,dd; int add1,sub1,mul1,dd1; int a,b,c,d
10 How to determine the learning rate and the variance in a gradient descent algorithm
2013年05月19 - I started to learn the machine learning last week. when I want to make a gradient descent script to estimate the model parameters, I came across

 
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