Electricity forecasting is crucial in scheduling and planning of future electric load, so as to improve the reliability and safeness of the power grid. Despite recent developments of forecasting algorithms in the mach...
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A disease that occurs in the lungs caused by a bacterial infection is pneumonia. In terms of the effective process of treatment, early diagnosis is a significant factor. The disease will usually be identified by an ex...
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This paper presents an implementation of a musical interface that utilizes machine learning (ML) attributes in real-time performance. The objective behind the work is to empower performers with an expanded musical pal...
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ISBN:
(纸本)9780984527427
This paper presents an implementation of a musical interface that utilizes machine learning (ML) attributes in real-time performance. The objective behind the work is to empower performers with an expanded musical palette. This is achieved by employing a variation on a delay effect implemented with neural networks. In this scenario, the delayed signal is an echo of previously performed motifs based on new inputs categorized by an ART (Adaptive Resonance Theory) neural network. An overview of the piece used to test the musical range of the effect will be given, followed by a description of the development rationale for the project. The paper will conclude with a qualitative evaluation of the usability and responsiveness of the effect, as well as its contribution to the aesthetic quality of the composition.
In machine learning, the choice of a learning algorithm that is suitable for the application domain is critical. The performance metric used to compare different algorithms must also reflect the concerns of users in t...
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Evaluation is an important means to promote the development of college education. At present, scholars have carried out research on college education and have also proposed some evaluation indicators for college educa...
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We randomly extracted Korean-language Tweets mentioning dementia/Alzheimer's disease (n= 12,413) from November 28 to December 9, 2020. We independently applied three machine learning algorithms (Afinn, Syuzhet, an...
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In this paper, we describe a discriminative learning approach for question answering. Our training corpus consists of 2 million Frequently Asked Questions (FAQs) and their corresponding answers that we mined from the ...
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ISBN:
(纸本)9781604234497
In this paper, we describe a discriminative learning approach for question answering. Our training corpus consists of 2 million Frequently Asked Questions (FAQs) and their corresponding answers that we mined from the World Wide Web. This corpus is used to train the lexical and semantic association model between questions and answers. We evaluate our approach on two question answering tasks: 2003 Text Retrieval Conference Question Answering task, and finding answers to FAQs. In both cases, the proposed approach achieved significant improvements over the results for an information retrieval based question answering model.
Osteoporosis is a common bone condition marked by reduced bone density, which increases the risk of fracture. Since poor sleep habits have been linked to the onset and progression of osteoporosis, sleep quality is vit...
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In this paper, deep learning algorithms are compared for aligning multiple biological molecular sequences such as DNA, RNA, and protein. Efficient algorithms are necessary for sequence alignment to identify significan...
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Recently, substantial technical progress has been made to solve complex tasks in the field of artificial intelligence (AI) by incorporating deep neural networks into reinforcement learning (RL). In this paper, four st...
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