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Semi-supervised learning

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2014-11-11 上传 大小:5.77MB
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机器学习 -- Semi-supervised Learning

Semi-supervised Learning Introduction Why semi-supervised learning helps? Semi-supervised Learning for Generative Model Low-density Separation Assumption Smoothness Assumption Better Representation

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Graph-Based Semi-Supervised Learning

While labeled data is expensive to prepare, ever increasing amounts of unlabeled data is becoming widely available. In order to adapt to this phenomenon, several semi-supervised learning (SSL) algorithms, which learn from labeled as well as unlabeled data, have been developed. In a separate line of

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Semi-Supervised Sparse Representation Based

Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples

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Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for.pdf

Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for.pdf Weakly- and Semi-Supervised Learning of a Deep Convolutional Network for.pdf

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Deep Learning via Semi-Supervised Embedding.pdf

Deep Learning via Semi-Supervised Embedding.pdf )

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Laplacian twin support vector machine for semi-supervised classificationn

Laplacian twin support vector machine for semi-supervised classificationn

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Deep Residual Learning for Weakly-Supervised Relation Extraction

远程监督深度学习关系抽取(英文) 远程监督深度学习关系抽取(英文)

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Semi-supervised learning

Semi-supervised learning

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Semi-Supervised Learning

Semi-Supervised Learning

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Semi-supervised multi-task learning

Semi-supervised multi-task learning of structured prediction models for web information extraction Extracting information from web pages is an important problem; it has several applications such as providing improved search results and construction of databases to serve user queries.

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Introduction to Semi-Supervised Learning

Introduction to Semi-Supervised Learning Xiaojin Zhu and Andrew B. Goldberg Synthesis Lectures on Artificial Intelligence and Machine Learning Copyright © 2009 by Morgan & Claypool

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semi-supervised learning

详细介绍了机器学习中比较热门的半监督学习的各种方法,是一本很经典的半监督学习的书籍。

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Semi-supervised Learning for Computational Linguistics

Semi-supervised Learning for Computational Linguistics

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semi-supervised Meanshift clustering

很不错的半监督meanshift聚类算法,希望对大家有用

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Combining active learning and semi-supervised learning

关于Combining active learning and semi-supervised learning to construct SVM classifier的文章

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Matlab代码编写的semi-supervised CCA 程序

semi-supervised CCA

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跳频系统的matlab代码

跳频系统的matlab实现,其中包括代码和一份pdf 的文档

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区块链入门

关于区块链的一些入门的资料,希望对区块链有兴趣的同学有帮助

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SSM框架在线购物项目

使用spring springmvc mybatis开发的在线商城技术,综合了SSM框架的全面技术。

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word转pdf用到的jar包

对应博客下的项目整合的一版jar包。赚点辛苦费。 实测绝对可用 。童叟无欺

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