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Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 15th Pacific Rim Kno Kenichi Yoshida,Maria Lee Conference proceedings 2018 Sp

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發(fā)表于 2025-3-25 03:31:37 | 只看該作者
Enjie Cui,Jianming Wang,Jiayu Liang,Guanghao Jin improvements in drilling technologies have dramatically lowered the costs of producing hydrocarbon from prospects and resulted in very efficient drilling operations, these advancements have led to sub-optimal and haphazard placement of wells. This can lead to considerable number of unprofitable wel
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發(fā)表于 2025-3-25 07:43:13 | 只看該作者
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發(fā)表于 2025-3-25 22:48:09 | 只看該作者
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發(fā)表于 2025-3-26 02:44:28 | 只看該作者
A Knowledge Acquisition Method for Event Extraction and Coding Based on Deep Patterns,input to an event annotation system. The method is implemented in a prototype Event Coding Assistant that processes news articles to suggest relevant events to a user who can correct or accept the suggestions. Over time as a knowledge base of patterns is built, event extraction accuracy improves and
27#
發(fā)表于 2025-3-26 05:46:58 | 只看該作者
Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embeddinndard & Poor’s 500 index (S&P 500). The experiments show that the accuracy of news sentiment classification for feature selection achieved 97.66% by model of joint learning, the performance of joint learning is better than feature extraction by CNN, the accuracy of stock price movement prediction th
28#
發(fā)表于 2025-3-26 09:44:58 | 只看該作者
Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neuraile it is often under-explored in previous studies. In this paper, inspired by the silence removal in the speech signal processing, a novel sample dropout approach is proposed, which aims to remove outliers in the training dataset. Using the DCASE 2017 audio scene classification datasets, the experi
29#
發(fā)表于 2025-3-26 14:50:58 | 只看該作者
An Analysis of Interaction Between Users and Open Government Data Portals in Data Acquisition Proced was a more stable data acquisition behavior. Females show better acceptance of regular recommendations (e.g. RSS) based on their visiting histories than males. Users’ age, education background and occupation affect their demands of different data quality attributes. Our analysis also shows positiv
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發(fā)表于 2025-3-26 17:34:53 | 只看該作者
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