Results 71 to 80 of about 17,150,448 (288)
Information Geometry of Dropout Training
CoRR, 2022 Dropout is one of the most popular regularization techniques in neural network training. Because of its power and simplicity of idea, dropout has been analyzed extensively and many variants have been proposed. In this paper, several properties of dropout are discussed in a unified manner from the viewpoint of information geometry.
Masanari Kimura, Hideitsu Hino
openaire +3 more sources
Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy
Molecular Oncology, EarlyView.We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
wiley +1 more source
Sentience and the Origins of Consciousness: From Cartesian Duality to Markovian Monism
Entropy, 2020 This essay addresses Cartesian duality and how its implicit dialectic might be repaired using physics and information theory. Our agenda is to describe a key distinction in the physical sciences that may provide a foundation for the distinction between ...
Karl J. Friston +2 more
doaj +1 more source
USP7 inhibits FOXO1 activity in chronic lymphocytic leukaemia cells enhancing cell survival
Molecular Oncology, EarlyView.CLL cells rely on BCR‐mediated signalling for survival and proliferation in part through suppression of FOXO1. FOXO1 activity is regulated by a plethora of post‐translational modifications including phosphorylation and ubiquitination. We demonstrated that dual inhibition of BCR signalling and the deubiquitinase USP7 activates FOXO1, modulating its ...
Hassan N.B. Almuhanna +8 more
wiley +1 more source
The Geometry of Signal Detection with Applications to Radar Signal Processing
Entropy, 2016 The problem of hypothesis testing in the Neyman–Pearson formulation is considered from a geometric viewpoint. In particular, a concise geometric interpretation of deterministic and random signal detection in the philosophy of information geometry is ...
Yongqiang Cheng +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.The brown marmorated stink bug, Halyomorpha halys, mainly secretes 4‐oxo‐(E)‐2‐hexenal, (E)‐2‐decenal, dodecane and tridecane, a mixture representative of that released by many heteropterans. We demonstrated that H. halys can synthesise these secretory components de novo using dietary glucose.
Haruna Fujimori, Koji Noge
wiley +1 more source
Information Geometry Description of Inferential Scattering
GeometryWe investigate the geometrical structure underlying the notion of inferential scattering, which was formulated by E. T. Jaynes in the 1980s using the language of equilibrium statistical mechanics.
Marco Favretti
doaj +1 more source
Deformed Algebras and Generalizations of Independence on Deformed Exponential Families
Entropy, 2015 A deformed exponential family is a generalization of exponential families. Since the useful classes of power law tailed distributions are described by the deformed exponential families, they are important objects in the theory of complex systems.
Hiroshi Matsuzoe, Tatsuaki Wada
doaj +1 more source
Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank
FEBS Open Bio, EarlyView.Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer +7 more
wiley +1 more source
Intrinsic Information-Theoretic Models
EntropyWith this follow-up paper, we continue developing a mathematical framework based on information geometry for representing physical objects. The long-term goal is to lay down informational foundations for physics, especially quantum physics.
D. Bernal-Casas, J. M. Oller
doaj +1 more source