Results 11 to 20 of about 4,448,600 (255)
Optimizing Persistent Random Searches [PDF]
Physical Review Letters, 2012 4 pages, 4 ...
Tejedor, Vincent +2 more
openaire +3 more sources
, 2023 Current version: v1.0.0 Changes to the Trove API mean that the techniques I've previously used to select resources at random will no longer work. This repository includes some alternative ways of retrieving random-ish works and newspaper articles from ...
Sherratt, Tim
core +1 more source
Generalization of navigation memory in honeybees
Frontiers in Behavioral Neuroscience, 2023 Flying insects like the honeybee learn multiple features of the environment for efficient navigation. Here we introduce a novel paradigm in the natural habitat, and ask whether the memory of such features is generalized to novel test conditions. Foraging
Eric Bullinger +2 more
doaj +1 more source
Agent-Based Collaborative Random Search for Hyperparameter Tuning and Global Function Optimization
Systems, 2023 Hyperparameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, ranging from domain-specific manual tuning guidelines suggested by the oracles ...
Ahmad Esmaeili +2 more
doaj +1 more source
Diffusion–Advection Equations on a Comb: Resetting and Random Search
Mathematics, 2021 This review addresses issues of various drift–diffusion and inhomogeneous advection problems with and without resetting on comblike structures. Both a Brownian diffusion search with drift and an inhomogeneous advection search on the comb structures are ...
Trifce Sandev +3 more
doaj +1 more source
Journal of Applied Informatics and Computing, 2023 Classification is one of the important tasks in the field of Machine Learning. Classification can be viewed as an Optimization Problem (Optimization Problem) with the aim of finding the best model that can represent the relationship/pattern between data ...
Muhamad Fajri, Aji Primajaya
doaj +1 more source
QUANTUM SEARCH ON RANDOM GRAPHS [PDF]
, 2021 This project was motivated by the following question: what information do the properties of a random graph contain about the performance of a quantum search acting on it?
Ahn, Alexander Song
core +1 more source
Machine Learning and Knowledge Extraction, 2023 In an era characterised by rapid technological advancement, the application of algorithmic approaches to address complex problems has become crucial across various disciplines.
Samuel Corecco +2 more
doaj +1 more source
Stable marriages and search frictions [PDF]
, 2014 Stable matchings are the primary solution concept for two-sided matching markets with nontransferable utility. We investigate the strategic foundations of stability in a decentralized matching market.
Nöldeke, Georg, Lauermann, Stephan
core +1 more source
Random Search Hyperparameter Optimization for BPNN to Forecasting Cattle Population [PDF]
E3S Web of ConferencesBackpropagation Neural Network (BPNN) is a suitable method for predicting the future. It has weaknesses, namely poor convergence speed and instability, requiring parameter tuning to overcome speed problems, and having a high bias.
Khotimah Bain Khusnul +6 more
doaj +1 more source