Results 11 to 20 of about 5,927 (217)
Auxiliary Information-Enhanced Recommendations [PDF]
Sequential recommendations have attracted increasing attention from both academia and industry in recent years. They predict a given user’s next choice of items by mainly modeling the sequential relations over a sequence of the user’s interactions with ...
Shoujin Wang +3 more
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Median Information Using Auxiliary Information [PDF]
Mounira Hussein
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Neutrosophic Estimators in Two-Phase Survey Sampling [PDF]
Point estimates in survey sampling only provide a single value for the parameter being studied and are consequently vulnerable to changes caused by sampling error.
Vinay Kumar Yadav, Shakti Prasad
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Optimization with Access to Auxiliary Information
Published in Transactions on Machine Learning Research (02/2024)
El Mahdi Chayti +1 more
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This paper presents a concurrent topology optimization of multi-scale composite structures subjected to general time-dependent loads for minimizing dynamic compliance.
Xudong Jiang +3 more
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Vision Transformer-Based Photovoltaic Prediction Model
Sensing the cloud movement information has always been a difficult problem in photovoltaic (PV) prediction. The information used by current PV prediction methods makes it challenging to accurately perceive cloud movements.
Zaohui Kang +5 more
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Speech Recognition With Auxiliary Information [PDF]
State-of-the-art automatic speech recognition (ASR) systems are usually based on hidden Markov models (HMMs) that emit cepstral-based features which are assumed to be piecewise stationary. While not really robust to noise, these features are also known to be very sensitive to "auxiliary" information, such as pitch, energy, rate-of-speech (ROS), etc ...
Todd A. Stephenson +2 more
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Tensor Factorization Using Auxiliary Information [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Atsuhiro Narita +3 more
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Learning Classification with Auxiliary Probabilistic Information [PDF]
Finding ways of incorporating auxiliary information or auxiliary data into the learning process has been the topic of active data mining and machine learning research in recent years. In this work we study and develop a new framework for classification learning problem in which, in addition to class labels, the learner is provided with an auxiliary ...
Quang Nguyen +2 more
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A new method for modelling precipitation variability in relation to climate change
Climate change is one of the main consequences of anthropogenic activities. Since the 1950s, gradual changes and an increase in climate warming have been observed.
Sadia Qamar +2 more
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