Results 51 to 60 of about 5,239,056 (367)
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2020 This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which ...
Foad Sohrabi, Kareem M. Attiah, Wei Yu
semanticscholar +1 more source
Hybrid group recommendations for a travel service [PDF]
, 2016 Recommendation techniques have proven their usefulness as a tool to cope with the information overload problem in many classical domains such as movies, books, and music.
De Pessemier, Toon +2 more
core +1 more source
Integrating rich user feedback into intelligent user interfaces [PDF]
Proceedings of the 13th international conference on Intelligent user interfaces, 2008 The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some of this rich feedback seem promising for assimilation
Stumpf, S. +5 more
openaire +2 more sources
The cost of virtue : reward as well as feedback are required to reduce user ICT power consumption [PDF]
, 2014 This work was partly supported by the IU-AC project, funded by grant EP/J016756/1 from the Engineering and Physical Sciences Research Council (EPSRC).We show that students in a school lab environment will change their behaviour to be more energy ...
Bhatti, Saleem N., Yu, Yi
core +1 more source
Empowering Healthcare Through User Feedback: A Multidimensional Analysis of the Knowledge
Patient Preference and Adherence, 2023 Minna Richards,1 Saija Inkeroinen,1 Jouko Katajisto,2 Sasu Muje,1 Heli Virtanen,1 Helena Leino-Kilpi1,3 1Department of Nursing Science, University of Turku, Turku, Finland; 2Department of Mathematics and Statistics, University of Turku, Turku, Finland ...
Richards M +5 more
doaj
Mixed Similarity Diffusion for Recommendation on Bipartite Networks
IEEE Access, 2017 In recommender systems, collaborative filtering technology is an important method to evaluate user preference through exploiting user feedback data, and has been widely used in industrial areas.
Ximeng Wang +5 more
doaj +1 more source
Home Energy Consumption Feedback: A User Survey [PDF]
, 2012 Buildings account for a relevant fraction of the energy consumed by a country, up to 20-40% of the yearly energy consumption. If only electricity is considered, the fraction is even bigger, reaching around 73% of the total electricity consumption ...
Bonino, Dario +2 more
core +1 more source
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback [PDF]
Web Search and Data Mining, 2019 Recommender systems widely use implicit feedback such as click data because of its general availability. Although the presence of clicks signals the users' preference to some extent, the lack of such clicks does not necessarily indicate a negative ...
Yuta Saito +4 more
semanticscholar +1 more source
Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs
Brain Sciences, 2020 In this paper we compared different visual feedback methods, informing users about classification progress in a steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) speller application.
Mihaly Benda, Ivan Volosyak
doaj +1 more source
Grasping Embodiment: Haptic Feedback for Artificial Limbs
Frontiers in Neurorobotics, 2021 Upper-limb prostheses are subject to high rates of abandonment. Prosthesis abandonment is related to a reduced sense of embodiment, the sense of self-location, agency, and ownership that humans feel in relation to their bodies and body parts.
Charles H. Moore +7 more
doaj +1 more source