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real-time performance and reduces the platform and language bias of the search data. Our proposed framework can provide …
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A system was developed that will serve as a learning tool for starters in sign language that involves hand detection …
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"This book examines natural language processing models and algorithms using traditional symbolic and more recent …
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We present a deep reinforcement learning framework for an automatic trading of contracts for difference (CfD) on indices at a high frequency. Our contribution proves that reinforcement learning agents with recurrent long short-term memory (LSTM) networks can learn from recent market history and...
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