Results 81 to 90 of about 251 (126)

Gradient responsive regularization: a deep learning framework for codon frequency based classification of evolutionarily conserved genes. [PDF]

BMC Genom Data
Shahzad A, Mehmood T, Akram S.
europepmc   +1 more source

Distributed Sensor Coordination Algorithms for Efficient Coverage in a Network of Heterogeneous Mobile Sensors. [PDF]

IEEE Trans Automat Contr, 2017
Mahboubi H, Moezzi K, Aghdam AG, Sayrafian-Pour K.   +3 more
europepmc   +1 more source

Cluster partitions and fitness landscapes of the Drosophila fly microbiome. [PDF]

J Math Biol, 2019
Eble H, Joswig M, Lamberti L, Ludington WB.   +3 more
europepmc   +1 more source

Investigation of direction- and age-dependent prestretch in mouse cranial dura mater. [PDF]

Biomech Model Mechanobiol
Consolini J, Oberman AG, Sayut J, Damen FW, Goergen CJ, Ravosa MJ, Holland MA.   +6 more
europepmc   +1 more source

Learning the sound inventory of a complex vocal skill via an intrinsic reward. [PDF]

Sci Adv
Toutounji H, Zai AT, Tchernichovski O, Hahnloser RHR, Lipkind D.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Maclaurin type inequalities for multiplicatively convex functions

Proceedings of the American Mathematical Society, 2023
In this paper we establish a new identity, and then based on this identity we derive the Maclaurin’s inequality for multiplicatively convex functions.
openaire   +2 more sources

Convex Kernel Underestimation of Functions with Multiple Local Minima

Computational Optimization and Applications, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mangasarian, O. L., Rosen, J. B., Thompson, Michael E.   +2 more
openaire   +1 more source

A convexity theorem for multiplicative functions

Optimization Letters, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

A New Convex Loss Function For Multiple Instance Support Vector Machines

2020 25th International Conference on Pattern Recognition (ICPR), 2021
We develop a novel multiple instance SVM based on maximizing the minimum witness rate (WR) among positive bags. We solve this nonlinear integer programming problem by the multiple instance SVM formulation with a convex loss function, where unknown integer labels of instances in positive bags are relaxed to real numbers between −1 and 1 using the ...
Sang-Baeg Kim, Jung-Man Bae
openaire   +1 more source