Results 11 to 20 of about 5,927 (217)

Auxiliary Information-Enhanced Recommendations [PDF]

open access: yesApplied Sciences, 2021
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
doaj   +2 more sources

Median Information Using Auxiliary Information [PDF]

open access: yesالمجلة المصرية للسکـان وتنظيم الأسرة, 2001
Mounira Hussein
doaj   +2 more sources

Neutrosophic Estimators in Two-Phase Survey Sampling [PDF]

open access: yesNeutrosophic Sets and Systems, 2023
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
doaj   +1 more source

Optimization with Access to Auxiliary Information

open access: yesCoRR, 2022
Published in Transactions on Machine Learning Research (02/2024)
El Mahdi Chayti   +1 more
openaire   +3 more sources

Concurrent Topology Optimization of Multi-Scale Composite Structures Subjected to Dynamic Loads in the Time Domain

open access: yesMathematics, 2023
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
doaj   +1 more source

Vision Transformer-Based Photovoltaic Prediction Model

open access: yesEnergies, 2023
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
doaj   +1 more source

Speech Recognition With Auxiliary Information [PDF]

open access: yesIEEE Transactions on Speech and Audio Processing, 2004
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
openaire   +1 more source

Tensor Factorization Using Auxiliary Information [PDF]

open access: yesData Mining and Knowledge Discovery, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Atsuhiro Narita   +3 more
openaire   +2 more sources

Learning Classification with Auxiliary Probabilistic Information [PDF]

open access: yes2011 IEEE 11th International Conference on Data Mining, 2011
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
openaire   +2 more sources

A new method for modelling precipitation variability in relation to climate change

open access: yesJournal of Water and Climate Change, 2023
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
doaj   +1 more source

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