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Titlebook: Engineering Applications of Neural Networks; 20th International C John Macintyre,Lazaros Iliadis,Chrisina Jayne Conference proceedings 2019

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樓主: indulge
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發(fā)表于 2025-3-23 09:53:40 | 只看該作者
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發(fā)表于 2025-3-23 19:14:13 | 只看該作者
A Probabilistic Graph-Based Method to Improve Recommender System Accuracyelp users to efficiently find desirable items among a pool of items. RSs often rely on collaborating filtering (CF), where history of transactions are analyzed in order to recommend items. High accuracy, and low time and implementation complexity are most important factors for evaluating the perform
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發(fā)表于 2025-3-23 23:33:48 | 只看該作者
A Robust Deep Ensemble Classifier for Figurative Language Detectiong (NLP) due to the contradictory meaning contained in phrases with metaphorical content. The problem itself contains three interrelated FL recognition tasks: sarcasm, irony and metaphor which, in the present paper, are dealt with advanced Deep Learning (DL) techniques. First, we introduce a data pre
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Communications in Computer and Information Sciencehttp://image.papertrans.cn/e/image/310709.jpg
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Engineering Applications of Neural Networks978-3-030-20257-6Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-24 21:53:06 | 只看該作者
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發(fā)表于 2025-3-25 01:02:37 | 只看該作者
https://doi.org/10.1007/978-1-4302-4738-8 completely ignores any estimation of the Random Environment’s (RE’s) (specified as .) reward/penalty probabilities. To take these into consideration, Estimator/Pursuit LA utilize “cheap” estimates of the Environment’s reward probabilities to make them converge by an order of magnitude faster. This
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