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The 3rd International Conference on Large-scale Knowledge Resources 点击:0
 原邮件发件人名字:Hao Han 原邮件发件人地址: han@tt.cs.titech.ac.jp 如需单独交流,请直接与原邮件发件人联系。 This is a [call for papers] from LKR2008. In the 21st century, we are now on the way to the knowledge-intensive society in which knowledge p(2007-08-05)
A satisfied customer 点击:0
 A while ago I blogged about SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking by Yoav Goldberg and Michael Elhadad when I was talking about my ACL to-read pile. I just want to say that Im a satisified customer, it works n(2007-08-05)
[数据挖掘工具与应用] Reaping Results: Data-Mining Goes Mainstream 点击:0
 RODNEY MONROE, the police chief in Richmond, Va., describes himself as a lifelong cop whose expertise is in fighting street crime, not in software. His own Web browsing, he says, mostly involves checking golf scores. But shortly after he became chie(2007-05-20)
Judge denies Arizona attorney general's request for Western Union's data 点击:0
 A Maricopa County Superior Court judge ruled that the Arizona Attorney General's Office may not force Western Union and two affiliates to turn over electronic data on wires transfers made to and from Nevada and Sonora, Mexico. The Attorney General's(2007-05-20)
KL divergence 点击:0
 The Kullback and Leibler divergence is a common measure of the distance between two probability distributions. Its central in probabilty based machine learning algorithm. For instance, when trying to approximate an intractable distribution p(x), we(2007-05-20)
Google - Freedom with Speech 点击:0
 What kind of successful speech applications are out there. TellMe, Asterisk. Speech interfaces not representing the low end. Letting people self service. TellMe is priced up too high. If Google wants to do something they should offer a low cost per(2007-05-20)
[搜索引擎技术与新闻] Responsys Buys Predictive Analytics Firm 点击:0
 Responsys acquired predictive analytics and contact optimization firm Loyalty Matrix. The deal will help Responsys in its strategy to shift from an e-mail company to serve the larger arena of on-demand marketing. In our pursuit to broaden-out our so(2007-05-08)
Patent Developments 点击:0
 I'm not opposed to patents. At one end of the spectrum, there are inventions that are the product of a great deal of perspiration and research, endeavors that won't be pursued without legal protections of investments required in the development of an(2007-05-08)
I Am A Huge, Game Playing Nerd 点击:0
 Right now a lot of what I do for school is build statistical models of things. Or read about statistical models. Reinforcement learning models, markov chain models, bayes nets models, if its stochastic Im probably modeling it. Right now a lot of wha(2007-05-08)
Eigenvectors behind Google PageRank 点击:0
 Google publishes a whole lot of interesting papers regularly at their Research Publications page. I tend to check up now and then since they do quite a bit of research regarding machine learning and artificial intelligence - my great love interests(2007-05-08)
Non-linear models in NLP 点击:0
 If you talk to (many) real machine learning people, they express profound disbelief that almost everything we do in NLP is based on linear classifiers (maxent/lr, svms, perceptron, etc.). We only rarely use kernels and, while decision tress used to(2007-05-08)
Proofpoint Introduces Industry's First Dynamic, Machine-learning Based Email Rep 点击:0
 CUPERTINO, Calif., April 30 /PRNewswire/ -- Proofpoint, Inc., the leader in large-enterprise messaging security solutions, today introduced the industry's first dynamic, machine-learning based email reputation solution, Proofpoint Dynamic Reputation(2007-05-01)
[人工智能] AI Overview 点击:0
 Welcome to our OVERVIEW! If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page:(2007-04-20)
Sentiment Analysis 点击:0
 Im into Sentiment Analysis . Theres a very good white paper explaining the theory and practice of this over at Corpora - but youll have to register to get hold of it. Im not sure about the ethics and practicalities of this: I understand that - for B(2007-04-20)
通用类和函数 点击:0
 机器学习库(MLL)是一些用于分类、回归和数据聚类的类和函数。 大部分分类和回归算法是用C++类来实现。尽管这些算法有一些不同的特性(像处理missing measurements的能力,或者categorical input variables等),这些类之间有一些相同之处。这些相同之处在类 CvStatMo(2007-04-04)
Normal Bayes 分类器 点击:0
 This is simple classification model that assumes that feature vectors from each class are normally distributed (though, not necessarily independently distributed), so the whole data distribution function is assumed to be a Gaussian mixture, one comp(2007-04-04)
K近邻算法 点击:0
 这个算法首先贮藏所有的训练样本,然後通过分析(包括选举,计算加权和等方式)一个新样本周围K个最近邻以给出该样本的相应值。这种方法有时候被称作基于样本的学习,即为了预测,我们对于给定的输入搜索最近的已知其相应的特征向量。 CvKNearest K近邻类 class CvKNea(2007-04-04)
支持向量机算法及其代码实现 点击:0
 支持向量机(SVM),起初由vapnik提出时,是作为寻求最优(在一定程度上)二分类器的一种技术。後来它又被拓展到回归和聚类应用。SVM是一种基于核函数的方法,它通过某些核函数把特征向量映射到高维空间,然後建立一个线性判别函数(或者说是一个高维空间中的能够区分(2007-04-04)
Decision Trees算法及其代码实现 点击:0
 The ML classes discussed in this section implement Classification And Regression Tree algorithms, which is described in [Brieman84]. The class CvDTree represents a single decision tree that may be used alone, or as a base class in tree ensembles (se(2007-04-04)
Boosting算法及其代码实现 点击:0
 一般的机器学习方法可能就是监督学习方法:训练数据由输入和期望的输出组成,然後对非训练数据进行预测输出,也就是找出输入x与输出y之间的函数关系F: y = F(x)。根据输出的精确特性又可以分为分类和回归。 Boosting 是个非常强大的学习方法, 它也是一个监督的分类学习(2007-04-04)
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  • The 3rd International Conference on Larg
  • A satisfied customer
  • Responsys Buys Predictive Analytics Firm
  • 通用类和函数
  • Normal Bayes 分类器
  • K近邻算法
  • 支持向量机算法及其代码实现
  • Decision Trees算法及其代码实现
  • Boosting算法及其代码实现
  • Programming Languages for Machine Learni
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