transfer learning

A transfer learning algorithm based on visual phrases is proposed.

第三，提出一种基于视觉短语的迁移学习算法。

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In this talk, I will give an overview of our recent work on transfer learning.

本报告概要介绍我们在迁移学习方面取得的最新进展.

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compared with relearning vocabulary, this transfer learning algorithm makes use of learned knowledge effectively, which can gain good performance especially in the situation when there are a few images in a novel category.

与重新学习视觉词典的分类算法相比，这种迁移算法有效地利用了已有知识，在新类别图像的训练样本较少的情况下，也能获得较好的分类效果。

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then, i used the development of courseware and designed two instructional designs, describing how to train students' ability of transfer learning in the simulation environment.

最后，笔者利用所开发的课件设计了两个教学设计，结合课件具体阐述了仿真实验环境下如何培养学生迁移能力。

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Many previous works have applied transfer learning to recommender systems to solve the cold start and rating sparsity problems. Most of these applications transfer user-item rating patterns. However, these applications require that the rating data on the auxiliary domain should be dense enough.

之前也有很多研究将迁移学习应用到推荐系统中来改进推荐系统，但是之前的研究都是迁移推荐系统中的用户评分矩阵，而且这些研究工作都要求源领域中的评分数据足够密集。

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Our work can be divided into two parts: instance-based transfer learn-ing, and feature-based transfer learning.

我们的工作可以分为两部分；基于实例的迁移学习和基于特征的迁移学习。

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Researchers have employed multi-modal learning, multi-task learning and transfer learning methods to bring the image associated text information into image classification tasks.

已有研究者使用多模态学习、多任务学习和迁移学习等方法，将图像相关的文本信息引入图像分类任务中，实验表明引入与图像相关的文本信息对图像分类性能有所提升。

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These two algorithms corresponds to instance-based and feature-based transfer learning.

这两种算法分别对应基于实例的迁移学习和基于特征的迁移学习。

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Finally, get the feature value of different question domains with the word semantic similarity method.2.This paper proposed a question classification method based on feature mapping transfer learning.

最后，以词汇语义相似度方法获取各个领域的问句特征空间特征值。2、在中文问句领域分类移植方面，提出了一种基于特征映射的问句分类迁移学习方法。

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Affecting Factors and Measures on Learning Transfer of General Physics Experiment

影响普通物理实验学习迁移的因素及策略

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he is also enthusiastic about "open-knowledge" initiatives that transfer learning about development between regions and even cities.

他也热情支持“开放知识”倡议即在不同地区和城市之间传递发展经验。

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Adaptive Localization in Indoor Wi-Fi Environment Based on Transfer Learning

基于迁移学习的自适应室内Wi-Fi定位

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In addition, the classifier designs with the idea of transfer learning and adjusts the sample weight through special strategies.

另外，分类器设计采用迁移学习的思想，通过专门设计调整权重策略来更新样本的权重。

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Transfer learning can effectively solve this problem.

迁移学习能够有效解决这个问题。

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This paper also discusses several tricky issues regarding CRFs and transfer learning.

本论文还探讨了CRFs和转移学习中的若干关键点。

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we transfer learning of fcm to optimization problem and imitate the self-organization and self-learning mechanism, the approach of fcm learning is presented based on genetic algorithm.

我们将FCM的学习问题转化为一个优化问题，模拟生物学中的自组织和自学习机制，提出了基于遗传算法的FCM学习和基于免疫遗传算法的FCM学习。

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Our proposed cross-domain transfer learning method for utilizing web multimedia objects without true labels in performing supervised classification tasks.

该交叉域的迁移学习的方法可以通过未标注真实类别标签的网络多媒体数据完成有监督分类的学习任务。

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the bigger the amount of positive transfer learning is, the stronger the ability of adapting new learning situation and resolving new problems through learning are.

学习的正迁移量越大，说明学生通过学习所产生的适应新的学习情境和解决新的问题的能力越强，学生的学习成绩越好，教学效果就越好。

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this paper proposes method of cross-domain network public opinion tendency, which is based on multi-task transfer learning based on markov logic network, design and implement analysis system of public opinion tendency.

通过跨领域知识迁移的分析方法&基于Markov逻辑网的多任务迁移学习，设计并实现了网络舆情倾向性分析系统。

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Instance-based and Feature-based Transfer Learning

基于实例和特征的迁移学习算法研究

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Thus, transfer learning does not make the identical-distribution assumption as tractional machine learning algorithms.

因此，迁移学习不会像传统机器学习那样作同分布假设。

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Transfer learning can transfer previously knowledge to a new task, helping the learning of a new task.

迁移学习能够将以往学到的知识迁移到新任务的学习中，帮助新任务的学习。

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The model consists of two parts: sample screening method based manifold learning and classification model design based transfer learning.

该模型主要包括两个部分：基于流形学习的样本筛选方法和基于迁移学习的分类器设计。

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The mainly content includes: the realization method of the teacher's game-edit tool, the using method of teacher's tool, the method of message transfer between teacher's tool and situated learning system and the description mode of the situation created by teacher.

主要内容包括：教师游戏编辑工具的实现方法，教师工具的使用方法，教师工具与情境化学习环境之间进行信息传递的方法，教师创设情境的描述方式等；

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Serving as one of the most important research directions in machine learning, transfer learning has begun to catch more attention in recent years.

作为机器学习领域中最重要的研究方向之一，迁移学习在近几年来开始得到了越来越多的关注。

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Our study extends the studies on organizational learning by exploring how team leaders affect tacit knowledge transfer in cross-functional new product development teams and subsequently improve the performances of the teams.

通过探索团队领导如何促进隐性知识在跨职能新产品开发团队中的转移进而提升新产品开发团队绩效，我们的研究扩展了有关组织学习的研究。

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This paper use the knowledge learnt from the source domain to help and speed up learning in the target domain through transfer learning, and implement a product image classification algorithm based on inductive transfer learning.

本文通过迁移学习的方法，利用从源领域中学习到的知识帮助并加快目标领域的学习，并在此基础上实现了一种基于归纳式迁移学习的商品图像分类算法。

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Thus, we propose a transfer learning algorithm for text classification based on clustering. This algorithm make use of cluster technology to find the instance that can help the learning of the new data from the auxiliary data.

提出一种基于聚类的文本迁移学习算法，利用聚类技术从原领域中寻找能够帮助目标数据学习的实例，用来帮助目标领域的学习。

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Non-linear Transfer Learning Model

一种面向非线性回归的迁移学习模型

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The study of Transfer learning is motivated by the fact that people can intelligently apply knowledge learned previously to solve new problems faster or with better solutions.

迁移学习的研究出于这样一个指导信息：人类可以利用先前所学到的知识来更好更快地解决新的问题。

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