Chatbots are an intelligent system being developed using artificial intelligence (AI) and natural language processing (NLP) algorithms. It successfully interfaces and answers the inquiries of the users. Dialogue/conve...
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This paper describes our participation in the shared evaluation campaign of MexA3T 2020. Our main goal was to evaluate a Supervised Autoencoder (SAE) learning algorithm in text classification tasks. For our experiment...
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Given two probability measures P and Q and an event E, we provide bounds on P(E) in terms of Q(E) and f-divergences. In particular, the bounds are instantiated when the measures considered are a joint distribution and...
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This paper presents an industrial application of machine learning techniques in fluid mechanics to the two-phase flow identification problem, under the context of forced high-speed oscillation with reference to the co...
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We are interested in learning algorithms that optimize revenue in repeated contextual posted-price auctions where a single seller faces a single strategic buyer. In our setting, the buyer maximizes his expected cumula...
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learning disentangled representations that correspond to factors of variation in real-world data is critical to interpretable and human-controllable machine learning. Recently, concerns about the viability of learning...
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In real-world applications, data are often associated with different labels. Although most extant multi-label learning algorithms consider the label correlations, they rarely consider the topic information hidden in t...
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This paper presents our participation on the BioASQ tasks 8a and MESINESP. Our approach was based on X-BERT, a state-of-the-art deep learning algorithm developed for Extreme Multi-Label Classification (XMLC). We adapt...
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Many modern large-scale machine learning problems benefit from decentralized and stochastic optimization. Recent works have shown that utilizing both decentralized computing and local stochastic gradient estimates can...
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The application of RFID system based on multi tag recognition is more and more extensive, and the problem of multi tag collision restricts the development of RFID system application. This paper improves the binary sea...
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