Results 31 to 40 of about 52,157 (206)
Ensamble Learning: An Approach in Artificial Intelligence
Decades ago, in the field of machine learning and data mining, the development of methods of ensemble learning has received significant attention from science community. Machine integration techniques incorporate multiple learning acquisition skills, better performance of guesswork than you would find in any available learning skills alone.
Swapnali G. Kadao, Rupali B. Surve
openaire +1 more source
In this study, we experimentally show that stochasticity can play prominent roles in driving local species assembly in annual plant‐dominated communities of semiarid gypsum ecosystems. Drylands are traditionally viewed as restrictive environments that impose strong deterministic filtering effects, but neutral events can also contribute decisively to ...
Laura Ortiz +3 more
wiley +1 more source
Underlying events in p+p collisions at LHC energies
General properties of hadron production are investigated in proton-proton collisions at LHC energies. We are interested in the characteristics of hadron production outside the identified jet cones. We improve earlier definitions and introduce surrounding
Agócs, A. G. +2 more
core +3 more sources
We develop a basic‐principles model from an analytically tractable semi‐harmonic Hamiltonian and compare our predictions with experimental data for Cu, Al, Pb, Si, and Ge. The results are quite satisfactory, considering that there are no fitting parameters in our theory.
Valmir Ribeiro, Fernando Parisio
wiley +1 more source
Se hace la segunda revisión de las 13 especies mexicanas integrantes del ensamble específico Frankliniella paricutinensis Johansen. También se incluye la descripción de una especie nueva afín a este ensamble específico encontrada en agroecosistemas de ...
Roberto M. Johansen +1 more
doaj +1 more source
Logarithmic Corrections to Black Hole Entropy and AdS/CFT Correspondence
We calculate the correction to the Bekenstein-Hawking entropy formula for five dimensional AdS-Schwarzschild black holes due to thermodynamic fluctuations.
A.Bohr +10 more
core +2 more sources
Gravity coupling from micro-black holes [PDF]
Recently much work has been done in lowering the Planck threshold of quantum gravitational effects (sub-millimeter dimension(s), Horava-Witten fifth dimension, strings or branes low energy effects, etc.).
Banks +11 more
core +3 more sources
Network Intrusion Classification Using Machine Learning and Clustered Features
This study presents an all‐encompassing approach that integrates feature selection, ensemble learning, clustering, and diverse analytical methods to improve the precision and effectiveness of network intrusion detection systems. Using data sets that have been preprocessed and classified using the Random Forest and XGBoost algorithms, we extract key ...
Gazi Md. Noor Hossain +4 more
wiley +1 more source
Análisis del desempeño de un algoritmo de ensamble mixto dinámico
El presente artículo da a conocer el impacto que tiene la semilla generadora de tráfico junto con un nuevo algoritmo de ensamble de ráfagas sobre el desempeño de una red de conmutación óptica por ráfagas OBS.
neil andrés jiménez pinzón +1 more
doaj +1 more source
Path Integral Methods in the Su-Schrieffer-Heeger Polaron Problem
I propose a path integral description of the Su-Schrieffer-Heeger Hamiltonian, both in one and two dimensions, after mapping the real space model onto the time scale. While the lattice degrees of freedom are classical functions of time and are integrated
Zoli, Marco
core +1 more source

