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12/06/2022
A Novel Deep Reinforcement Learning Based Automated Stock Trading System Using Cascaded LSTM Networks
More and more stock trading strategies are constructed using deep reinfo...
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11/11/2022
Palm Vein Recognition via Multi-task Loss Function and Attention Layer
With the improvement of arithmetic power and algorithm accuracy of perso...
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09/23/2021
Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems
In this work we propose a new task: artistic visualization of classical ...
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09/15/2021
Fermion Sampling Made More Efficient
Fermion sampling is to generate probability distribution of a many-body ...
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03/15/2021
Category Aware Explainable Conversational Recommendation
Most conversational recommendation approaches are either not explainable...
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08/01/2020
An Empirical Study of Clarifying Question-Based Systems
Search and recommender systems that take the initiative to ask clarifyin...
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08/30/2019
Learning to Ask: Question-based Sequential Bayesian Product Search
Product search is generally recognized as the first and foremost stage o...
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10/12/2018
Technology Assisted Reviews: Finding the Last Few Relevant Documents by Asking Yes/No Questions to Reviewers
The goal of a technology-assisted review is to achieve high recall with ...
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03/01/2018
A Class-Incremental Learning Method Based on One Class Support Vector Machine
A method based on one class support vector machine (OCSVM) is proposed f...
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02/28/2018