SAnDReS 2.0: Development of machine‐learning models to explore the scoring function space
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational Chemistry"
DOI: 10.1002/jcc.27449
Abstract: Classical scoring functions may exhibit low accuracy in determining ligand binding affinity for proteins. The availability of both protein–ligand structures and affinity data make it possible to develop machine‐learning models focused on specific protein systems… read more here.
Keywords: scoring function; function space; learning models; machine learning ... See more keywords
Translation Theorem for Function Space Integral Associated with Gaussian Paths and Applications
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of the Iranian Mathematical Society"
DOI: 10.1007/s41980-018-00203-1
Abstract: In this paper we establish a more general translation theorem for function space integral associated with Gaussian paths on the function space $$C_{a,b}[0,T]$$Ca,b[0,T]. The function space $$C_{a,b}[0,T]$$Ca,b[0,T] is induced by a generalized Brownian motion process.… read more here.
Keywords: translation theorem; space; function space;
Exploring the Function Space of Deep-Learning Machines
Sign Up to like & getrecommendations! Published in 2018 at "Physical review letters"
DOI: 10.1103/physrevlett.120.248301
Abstract: The function space of deep-learning machines is investigated by studying growth in the entropy of functions of a given error with respect to a reference function, realized by a deep-learning machine. Using physics-inspired methods we… read more here.
Keywords: space deep; learning machines; function space; deep learning ... See more keywords
A Low‐Dimensional Function Space for Efficient Spectral Upsampling
Sign Up to like & getrecommendations! Published in 2019 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13626
Abstract: We present a versatile technique to convert textures with tristimulus colors into the spectral domain, allowing such content to be used in modern rendering systems. Our method is based on the observation that suitable reflectance… read more here.
Keywords: efficient spectral; dimensional function; low dimensional; function space ... See more keywords
Some ordered function space topologies and ordered semi-uniformizability
Sign Up to like & getrecommendations! Published in 2018 at "Hacettepe Journal of Mathematics and Statistics"
DOI: 10.15672/hjms.2018.574
Abstract: In this work, we define some Cech based ordered function space topologies and we introduce ordered semi-uniformizability. Then we investigate ordered semi-uniformizability of the ordered function space topologies such as compact-open (interior) and point-open (interior)… read more here.
Keywords: ordered semi; space topologies; function space; semi uniformizability ... See more keywords
Exploring Scoring Function Space: Developing Computational Models for Drug Discovery.
Sign Up to like & getrecommendations! Published in 2023 at "Current medicinal chemistry"
DOI: 10.2174/0929867330666230321103731
Abstract: BACKGROUND The idea of scoring function space established a systems-level approach to address the development of models to predict the affinity of drug molecules by those interested in drug discovery. OBJECTIVE Our goal here is… read more here.
Keywords: drug discovery; scoring function; space; function space ... See more keywords
A Composition Formula for the Modified Analytic Function Space Fourier–Feynman Transform
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12193035
Abstract: Composition formula is one of the most important research topics in functional analysis theory. Various relationships can be obtained using the composition formula. Since the generalized Brownian motion process used in this paper has a… read more here.
Keywords: function space; composition; composition formula;
Generalized transforms and generalized convolution products associated with Gaussian paths on function space
Sign Up to like & getrecommendations! Published in 2020 at "Communications on Pure and Applied Analysis"
DOI: 10.3934/cpaa.2020019
Abstract: In this paper we define a more general convolution product (associated with Gaussian processes) of functionals on the function space \begin{document}$ C_{a, b}[0, T] $\end{document} . The function space \begin{document}$ C_{a, b}[0, T] $\end{document} is… read more here.
Keywords: generalized transforms; convolution; associated gaussian; function space ... See more keywords