Yoshimasa Tsuruoka1,*, John McNaught1,2, Jun’ichi Tsujii1,2,3 and Sophia Ananiadou1,2 1 School of Computer Science, The University of Manchester, Manchester, 2 National Centre for Text Mining (NaCTeM), Manchester, UK and 3 Department of Computer Scie…

题目链接:String Similarity 题意: 首先题目定义了两个串的相似(串的构成是0.1),如果两个串存在对于一个下标k,它们的值一样,那么这两个串就相似 然后题目给你一个长度为2n-1的串,我们设下标从1开始,那么[1,n],[2,n+1],[3,n+2]...[n,2n-1]每一个都是一个长度为n的串,你需要找出来长度为n的串,使得这个串和[1,n],[2,n+1],[3,n+2]...[n,2n-1]这些串都相似 题解: 你会发现,只需要输出原长度为2n-1串的下标1,3,5,7…

目录 概 主要内容 genuine 和 impostor 文1 文2 Chopra S, Hadsell R, Lecun Y, et al. Learning a similarity metric discriminatively, with application to face verification[C]. computer vision and pattern recognition, 2005: 539-546. Hadsell R, Chopra S, Lecun Y, et…

Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logi…

This post builds on a previous post, but can be read and understood independently. As part of my course on statistical learning, we created 3D graphics to foster a more intuitive understanding of the various methods that are used to relax the assumpt…

This semester I'm teaching from Hastie, Tibshirani, and Friedman's book, The Elements of Statistical Learning, 2nd Edition. The authors provide aMixture Simulation data set that has two continuous predictors and a binary outcome. This data is used to…

[Machine Learning]学习笔记-Logistic Regression 模型-二分类任务 Logistic regression,亦称logtic regression,翻译为"对数几率回归",是一种分类学习方法.和先前的线性回归模型不同的是,输出的y一般是离散量的集合,如输出\(y \in \{0,1\}\)的二分类任务. 考虑二分类任务,线性回归模型产生的\(Z=\theta ^TX\)是连续的实值,需要用一个函数\(g(\theta ^TX)\)将z转换为0/1值.…

整理自Adrew Ng 的 machine learning课程week3 目录: 二分类问题 模型表示 decision boundary 损失函数 多分类问题 过拟合问题和正则化 什么是过拟合 如何解决过拟合 正则化方法 1.二分类问题 什么是二分类问题? 垃圾邮件 / 非垃圾邮件? 诈骗网站 / 非诈骗网站? 恶性肿瘤 / 非恶性肿瘤? 用表达式来表示:$y\in\left \{ 0,1 \right \}$, \begin{Bmatrix} 0& : & nagetive &…

Deep Learning Tutorial 由 Montreal大学的LISA实验室所作,基于Theano的深度学习材料.Theano是一个python库,使得写深度模型更容易些,也可以在GPU上训练深度模型.所以首先得了解python和numpy.其次,阅读Theano basic tutorial. Deep Learning Tutorial 包括: 监督学习算法: Logistic Regression - using Theano for something simple Multi…

Logistic Regression with a Neural Network mindset You will learn to: Build the general architecture of a learning algorithm, including: Initializing parameters(初始化参数) Calculating the cost function and its gradient(计算代价函数,和他的梯度) Using an optimization…