文件名称:61-papers-about-transfer-leanring

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61篇迁移学习方面的经典文献,其中英文60篇,中文文献1篇-61 classical papers about transfer leanring
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迁移学习经典文献61篇

....................\!@Transferred correlation learning.pdf

....................\@A Comparative Study of Methods for Transductive.pdf

....................\@A NEW TOPIC-BRIDGED MODEL FOR TRANSFER LEARNING.pdf

....................\@A Pedestrian Classification Method Based on.pdf

....................\@A Survey on Transfer Learning.pdf

....................\@A Weighted Algorithm of Inductive Transfer.pdf

....................\@An Active Learning Approach to Knowledge.pdf

....................\@An Efficient Active Learning Algorithm.pdf

....................\@Bayesian Task-Level Transfer Learning for.pdf

....................\@Building topographic subspace model with transfer learning for sparse representation.pdf

....................\@Comparing the Applicability of Two Learning.pdf

....................\@Cross-database age estimation.pdf

....................\@Distributed Transfer Network Learning.pdf

....................\@Empirical Evidence of Priming.pdf

....................\@Extending Semi-supervised Learning Methods for Inductive Transfer Learning.pdf

....................\@Graph-Based Analysis of Human Transfer.pdf

....................\@Integration of Transfer of Learning to the Adaptive.pdf

....................\@Knowledge Transfer and Learning Race in Strategic Alliance.pdf

....................\@Knowledge Transfer and Opinion Detection in the TREC2006 Blog Track.pdf

....................\@Learning the Shared Subspace for Multi-Task Clustering and Transductive Transfer.pdf

....................\@Multi-Label Transfer Learning with Sparse.pdf

....................\@Multi-Task Active Learning with Output Constraints.pdf

....................\@Multi-Task Sparse Discriminant Analysis (MtSDA) with Overlapping Categories.pdf

....................\@Multi-domain spoken language understanding with transfer learning.pdf

....................\@Multiagent Transfer Learning via Assignment-based Decomposition.pdf

....................\@Multimedia learning- Cognitive individual differences and display design techniques predict transfer learning with multimedia learning.pdf

....................\@On universal transfer learning.pdf

....................\@Optimizing Kernel Functions Using Transfer Learning from Unlabeled Data.pdf

....................\@Pen-based Knowledge Transfer Techniques to Support Lifelong.pdf

....................\@Probabilistic Policy Reuse for inter-task transfer learning.pdf

....................\@Research on Localized Learning and Knowledge Transfer.pdf

....................\@Research on the Presentation Mode in E-Learning based on Transfer Learning.pdf

....................\@Self-taught learning transfer learning from unlabeled data.pdf

....................\@Some Applications in Transfer Learning.pdf

....................\@Supervised Self-taught Learning.pdf

....................\@Task Similarity Measures for Transfer in.pdf

....................\@The Impact of Organizational Learning on.pdf

....................\@Towards a Learning Perspective on Knowledge Technology Transfer through.pdf

....................\@Transfer AdaBoost Learning for Action Recognition.pdf

....................\@Transfer Learning based on SVD for Spam Filtering.pdf

....................\@Transfer Learning in Collaborative Filtering for Sparsity Reduction.pdf

....................\@Transfer Learning in Decision Trees.pdf

....................\@Transferred Feature Selection.pdf

....................\@Transferring Localization Models across Space.pdf

....................\Transfer learning for text classification.pdf

....................\Transferring Localization Models over Time.pdf

....................\Web Usage Mining to Evaluate the.pdf

....................\Web Wrapper Generation Using Tree.pdf

....................\迁移学习及应用.pdf

....................\!@Adaptive Localization Through Transfer.pdf

....................\!@Adaptive Transfer Learning.pdf

....................\!@Boosting for Transfer Learning.pdf

....................\!@Boosting for transfer learning with.pdf

....................\!@Genetic transfer learning.pdf

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