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Supervised Learning for Provenance-Similarity of Binaries 评分:

一篇关于数据挖掘的会议论文,研究二进制代码的相似性比较方法

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2012-05-16 上传 大小:641KB
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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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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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Weakly Supervised Learning of Part Selection Model

Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-grained Image Classification_AAAI2017.pdf

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Semi-Supervised Learning with Graphs

文献是基于图方法的半监督学习的经典之作,较为系统全面地介绍了相关知识与方法。

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Introduction to Semi-Supervised Learning - Xiaojin Zhu, Andrew B. Goldberg(2009)

Synthesis Lectures on Artificial Intelligence and Machine Learning 【keywords】semi-supervised learning, transductive learning, self-training,Gaussianmixturemodel, expectation maximization (EM), cluster-then-label, co-training, multiview learning, mincut,harmonic function, label propagation,manifold re

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半监督学习(semi-supervised learning literature survey)

Xiaojin Zhu于2008年写的一篇有关半监督学习的综述。

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半监督学习综述(a survey of semi-supervised learning)

一篇数据挖掘课的作业论文。 关于半监督学习方面的综述性文章。 所参考文献在2009年以前。 目前这方面的中文文献相对较少,希望我的这篇作业能对有兴趣做这方面研究的朋友有所帮助,其中错误之处还请大家多多指出。

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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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Label Efficient Semi-Supervised Learning via Graph Filtering.pdf

Graph-based methods have been demonstrated as one of the most effective approaches for semi-supervised learning,astheycanexploittheconnectivitypatternsbetweenlabeled and unlabeled data samples to improve learning performance. However, existing graph-based methods either are limited in their ability

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Supervised Learning

Supervised Learning 介绍 ppt 英语

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Multiobjective Supervised Learning

This chapter sets out a number of the popular areas in multiobjective supervised learning. It gives empirical examples of model complexity optimization and competing error terms, and presents the recent advances in multi-class receiver operating characteristic analysis enabled by multiobjective opti

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Semi-supervised learning

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Semi-Supervised Learning

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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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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 (ADAPTIVE COMPUTATION AND MACHINE LEARNING)

In order to understand the nature of semi-supervised learning, it will be useful first to take a look at supervised and unsupervised learning.

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Semi-supervised Learning for Computational Linguistics

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semi-supervised learning with kernel density estimation

Insufficiency of labeled training data is a major obstacle for automatically annotating large-scale video databases with semantic concepts. Existing semi-supervised learning algorithms based on parametric models try to tackle this issue by incorporating the information in a large amount of unlabeled

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html+css+js制作的一个动态的新年贺卡

该代码是http://blog.csdn.net/qq_29656961/article/details/78155792博客里面的代码,代码里面有要用到的图片资源和音乐资源。

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