Jul 25, 2020 · In this paper, we propose a multi-source domain adaptation method with a Granger-causal objective (MDA-GC) for cross-domain sentiment ...
Jul 25, 2020 · In this paper, we propose a multi-source domain adaptation method with a Granger-causal objective (MDA-GC) for cross-domain senti- ment ...
In this paper, we propose a multi-source domain adaptation method with a Granger-causal objective (MDA-GC) for cross-domain sentiment classification.
A mixture-of-experts approach for unsupervised domain adaptation from multiple sources to explicitly capture the relationship between a target example and ...
Jan 25, 2023 · We present a novel multi-source domain adaptation approach for emotion classification, by combining broad learning and deep learning in this article.
Jan 12, 2020 · In this paper, we propose a novel multi-source domain adaptation (MDA) method, termed Multi-source Sentiment Generative Adversarial Network (MSGAN), for visual ...
Missing: Granger Causal Inference.
This paper is concerned with the problem of domain adaptation with multiple sources from a causal point of view. In particular, we use causal models to ...
Mar 5, 2020 · We propose a novel framework with multi-source domain adaptation and joint learning for multi-source cross-domain sentiment classification tasks.
The first dimension is related to the multi-source domain adaptation method; the second is related to the cross-domain sentiment classification method; and the ...
Nov 23, 2022 · This research article has introduced an enhanced cross-entropy measure for matching the normalized frequency distribution of different domains.
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