Learning string similarity measures for gene/protein name dictionary look-up using logistic regression
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 Science, The University of Tokyo, Japan Received on June 3, 2007; revised on July 27, 2007; accepted on July 28, 2007 Advance Access publication August 12, 2007 Associate Editor: Jonathan Wren
Learning string similarity measures for gene/protein name dictionary look-up using logistic regression的更多相关文章
- Educational Codeforces Round 94 (Rated for Div. 2) String Similarity、RPG Protagonist、Binary String Reconstruction、Zigzags 思维
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 ...
- Learning a Similarity Metric Discriminatively, with Application to Face Verification
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 ...
- Machine Learning - 第3周(Logistic Regression、Regularization)
Logistic regression is a method for classifying data into discrete outcomes. For example, we might u ...
- More 3D Graphics (rgl) for Classification with Local Logistic Regression and Kernel Density Estimates (from The Elements of Statistical Learning)(转)
This post builds on a previous post, but can be read and understood independently. As part of my cou ...
- Some 3D Graphics (rgl) for Classification with Splines and Logistic Regression (from The Elements of Statistical Learning)(转)
This semester I'm teaching from Hastie, Tibshirani, and Friedman's book, The Elements of Statistical ...
- [Machine Learning]学习笔记-Logistic Regression
[Machine Learning]学习笔记-Logistic Regression 模型-二分类任务 Logistic regression,亦称logtic regression,翻译为" ...
- machine learning 之 logistic regression
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 ...
- Deep Learning Tutorial - Classifying MNIST digits using Logistic Regression
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 ...
- Neural Networks and Deep Learning(week2)Logistic Regression with a Neural Network mindset(实现一个图像识别算法)
Logistic Regression with a Neural Network mindset You will learn to: Build the general architecture ...
随机推荐
- 基于HDFS的SparkStreaming案例实战和内幕源码解密
一:Spark集群开发环境准备 启动HDFS,如下图所示: 通过web端查看节点正常启动,如下图所示: 2.启动Spark集群,如下图所示: 通过web端查看集群启动正常,如下图所示: 3.启动sta ...
- Java高级特性—消息队列
1)什么是jms JMS即Java消息服务(Java Message Service)应用程序接口是一个Java平台中关于面向消息中间件(MOM)的API. 它便于消息系统中的Java应用程序进行消息 ...
- k8s restful API 结构分析
k8s的api-server组件负责提供restful api访问端点, 并且将数据持久化到etcd server中. 那么k8s是如何组织它的restful api的? 一, namespaced ...
- Android开发Tips(2)
欢迎Follow我的GitHub, 关注我的CSDN. 我会介绍关于Android的一些有趣的小知识点. 上一篇. 1. Dagger2的开发顺序 Module -> Component -&g ...
- python raise assert
class MyException(Exception): def __init__(self,error_msg): self.error_msg=error_msg def __str__(sel ...
- 如何用PS快速的批量制作连续号码数字编号图解
如何用PS快速的批量制作连续号码数字编号图解 大家好,今天太原博飞设计培训小编就告诉大家如用PS快速的制作连续数字编号,在工作中尤其是大型活动的有时候制作连续的号码牌,少还好,如果上百上千个,那就辛苦 ...
- Oracle dos连接数据库基本操作
sqlplus / as sysdba;(sqlplus 用户名/密码@ip:端口:数据库实例 as sysdba;) ;(设置显示多少列,pagesize:;每页多少记录) select * fro ...
- 安装Reshaper后Intellisense失效
安装Reshaper后Intellisense失效或希望用vs2017的Intellisense功能 安装完毕后,IDE 的智能提示(Intellisense)便会默认使用 Resharper 的提示 ...
- 走进windows编程的世界-----消息处理函数(3)
二 定时器消息 1 定时器消息 WM_TIMER 依照定时器设置时间段,自己主动向窗体发送一个定时器消息WM_TIMER. 优先级比較低. 定时器精度比較低,毫秒级别.消息产生时间也精度比較低 ...
- [C++设计模式] singleton 单例模式
这个设计模式主要目的是想在整个系统中仅仅能出现一个类的实例.这样做当然是有必定的.比方你的软件的全局配置信息,或者是一个Factory,或是一个主控类,等等. 你希望这个类在整个系统中仅仅能出现一个实 ...