Approximation guarantees for parallelized maximization of monotone non-submodular function with a cardinality constraint
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Combinatorial Optimization"
DOI: 10.1007/s10878-021-00719-z
Abstract: Emerging applications in machine learning have imposed the problem of monotone non-submodular maximization subject to a cardinality constraint. Meanwhile, parallelism is prevalent for large-scale optimization problems in bigdata scenario while adaptive complexity is an important… read more here.
Keywords: non submodular; monotone; monotone non; cardinality constraint ... See more keywords
Uniqueness of one-parameter exponential curves fitted by non-linear least-squares to non-negative data in monotone non-increasing blocks
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2019.1628274
Abstract: Abstract For normalized non-negative data in monotone non-increasing blocks sufficiently close to test exponential functions computable in closed form, there is a unique one-parameter exponential decay curve fitted by weighted non-linear least squares. Upper and… read more here.
Keywords: increasing blocks; negative data; data monotone; non negative ... See more keywords