Wide and Deep Neural Networks Achieve Optimality for Classification
Sign Up to like & getrecommendations! Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2208779120
Abstract: While neural networks are used for classification tasks across domains, a long-standing open problem in machine learning is determining whether neural networks trained using standard procedures are consistent for classification, i.e., whether such models minimize… read more here.
Keywords: infinitely wide; neural networks; wide deep; classification ... See more keywords
Design and fabrication of wide and deep rejection band microstrip low-pass filter
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Instrumentation"
DOI: 10.1088/1748-0221/12/01/p01023
Abstract: This paper presents a novel microstrip low-pass filter (LPF) configuration with low insertion loss, wide and deep rejection band employing defected ground structure (DGS) and microstrip stub techniques. The proposed LPF comprises three open stubs,… read more here.
Keywords: pass filter; microstrip low; wide deep; band ... See more keywords
Wide and Deep Model of Multi-Source Information-Aware Recommender System
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2868083
Abstract: Collaborative filtering recommendation suffers from the problems of high data sparsity, poor expansibility, cold start, and the difficulty of modeling user preferences, among which data sparsity is the greatest issue. Although our previous work on… read more here.
Keywords: information; wide deep; multi source; source information ... See more keywords