Results 91 to 100 of about 125,665 (304)
Interpolation of Random Hyperplanes [PDF]
Let {(Z_i,W_i):i=1,...,n} be uniformly distributed in [0,1]^d * G(k,d), where G(k,d) denotes the space of k-dimensional linear subspaces of R^d. For a differentiable function f from [0,1]^k to [0,1]^d we say that f interpolates (z,w) in [0,1]^d * G(k,d) if there exists x in [0,1]^k such that f(x) = z and vec{f}(x) = w, where vec{f}(x) denotes the ...
openaire +3 more sources
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Spikes are an important class of 3-connected matroids. For an integer , there is a unique binary r-spike denoted by Zr. When a circuit-hyperplane of Zr is relaxed, we obtain another spike and repeating this procedure will produce other non-binary spikes.
Vahid Ghorbani +2 more
doaj +1 more source
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan +8 more
wiley +1 more source
Improving Classification in Support Vector Machine Using Neutrosophic Logic [PDF]
Support Vector Machine (SVM) is considered one of the most effective methods for classification tasks. However, randomness in classifying observations on the optimal separating hyperplane decision — which are often indeterminate in their class membership
Hiba Habbak +2 more
doaj +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Regularization Strategies for Hyperplane Classifiers: Application to Cancer Classification with Gene Expression Data [PDF]
Erik Andries +3 more
openalex +1 more source
Non-Abelian Lefschetz hyperplane theorems [PDF]
LetXXbe a smooth projective variety over the complex numbers, and letD⊂XD\subset Xbe an ample divisor. For which spacesYYis the restriction mapr:Hom(X,Y)→Hom(D,Y)\begin{equation*}r: \mathrm {Hom}(X, Y)\to \mathrm {Hom}(D, Y) \end{equation*}an isomorphism?Using positive characteristic methods, we give a fairly exhaustive answer to this question.
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Abstract Whereas gluten‐free bread production often relies on starch‐heavy formulations, this study introduces a novel approach by leveraging the synergistic effects of fermented/pre‐gelatinized Cardaba banana, pigeon pea, and lemon pomace—an underutilized agro‐industrial byproduct.
Abimbola Abike Osanbikan +5 more
wiley +1 more source
Performance Analysis of Simplification of Hyperplane Support Vector Machine
Comparing with traditional support vector machine,hyperplane support vector machine (HPSVM)and hyperplane support vector machine for regression(HPSVMR)not only reduce the number of support vectors and calculation time but also have comparable accuracy ...
Hui Cheng +3 more
doaj +2 more sources

