Cross-domain Knowledge: Transfer Learning
Social Transfer Cross Domain Transfer Learning From Social Streams for Media Applications
... social domain, which connects with other item ...useful knowledge from an auxiliary domain can be transferred through the social domain to a target ...bridge cross-domain ...
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Cross-Domain Transfer for Reinforcement Learning
... 6. Learning a Rule Translation Function Thus far, this work has relied on hand-coded cross-domain mappings δ A and δ X , as has much of the past transfer learn- ing ...research. ...
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Cross-domain recommendation with consistent knowledge transfer by subspace alignment
... that transfer learning is meaningful, but divergence still exists between the source and target ...nine cross- domain recommendation tasks with all the combinations of the three ...single ...
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On Cross-Domain Transfer in Venue Recommendation
... Various cross-domain strategies have been pro- posed to enhance the effectiveness of MF-based models on a target do- main, by transferring knowledge from a source ...Such cross-domain ...
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Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG
... whether cross-domain transfer learning can impact the classification ability of mod- els when trained on Electroencephalographic (brainwave) and Electromyographic (muscular wave) ...the ...
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Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation
... Unsupervised domain adaptation has caught appealing attentions as it facilitates the unlabeled target learning by borrowing existing well-established source domain ...on domain adaptation ...
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Knowledge as A Bridge: Improving Cross domain Answer Selection with External Knowledge
... external knowledge as a bridge between source and target domains is moti- vated by the observation that the data in different domains shares certain common background knowl- edge which can possibly be transferred ...
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Interactive Attention Transfer Network for Cross-Domain Sentiment Classification
... ful knowledge in the source domain to help sentiment clas- sification in the target domain which has few or no labeled ...Attention Transfer Network (IATN) for cross- domain ...
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Cross lingual Learning of an Open domain Semantic Parser
... our knowledge, the first such work using cross-lingual ...learning. Cross-lingual learning has previously been applied to different NLP tasks, notably part-of-speech tag- ging and ...
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Cross-domain Meta-learning for Time-series Forecasting.
... Machine Learning approaches ...problem domain under consideration is perhaps the most prominent ...on cross-domain transfer of ...
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Transfer Learning Based Cross lingual Knowledge Extraction for Wikipedia
... Figure 3: WikiCiKE Framework. 3.1 Automatic Training Data Generation To generate the training data for the target at- tribute attr T , we first determine the equivalen- t cross-lingual attribute attr S . ...
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Metalearning for multiple-domain Transfer Learning
... Parameter transfer occurs when the source and target learners share pa- rameters or when ensemble learners are created by combining multiple source learners to form an improved target ...of transfer include ...
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DBpedia: A Multilingual Cross-domain Knowledge Base
... multi-lingual knowledge base covering many specific domains and general world ...The knowledge base contains textual descriptions (titles and abstracts) of concepts in up to 97 ...structured ...
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Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation
... Fair Knowledge Transfer for Imbalanced Domain Adaptation Taotao Jing , Bingrong Xu , and Zhengming Ding, Member, IEEE Abstract— Domain adaptation (DA) becomes an up-and- coming technique to ...
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Tacit knowledge transfer: Cross-cultural adventure
... to transfer of tacit knowledge between international visitors and local residents in developing destinations; and that motivations for the locals include money and employment, social capital, and individual ...
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Knowledge-based Transfer Learning Explanation
... background knowledge but are limited by expressivity, which in turn restricts the rea- soning and inhibits rich ...hand, transfer learning which utilizes sam- ples, features ...one learning ...
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Unsupervised Cross Domain Word Representation Learning
... We must consider the correspondences between the two domains as expressed by the pivots to jointly learn word representations. As shown in Fig. 2, the proposed method reports superior ac- curacies over GloVe across ...
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Learning Domain Knowledge for Teaching Procedural Skills
... procedural knowledge differently: group G1 (four sub- jects) used demonstrations, experiments, and direct specification; group G2 (six subjects) used only demonstrations and direct speci- fication; and group G3 ...
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The Relo KT Process for Cross Disciplinary Knowledge Transfer
... To rigorously examine the relo-KT process, it is applied to the RF-MT (rhetor- ical figure-machine translation) use case, in which linguistic understanding of rhetorical figures is codif[r] ...
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Knowledge transfer in cross-border post-acquisition integration
... tacit knowledge into consideration in this study. Even though knowledge was considered vital in all companies, knowledge-intensive firms were mentioned to be the most dependent on knowledge, ...
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