Results 1 to 10 of about 2,257,648 (287)

Sensing and decision-making in random search. [PDF]

Proc Natl Acad Sci U S A, 2012
While microscopic organisms can use gradient-based search to locate resources, this strategy can be poorly suited to the sensory signals available to macroscopic organisms.
Hein AM, McKinley SA.
europepmc   +3 more sources

Random Search Walks Inside Absorbing Annuli [PDF]

Entropy
We revisit the problem of random search walks in the two-dimensional (2D) space between concentric absorbing annuli, in which a searcher performs random steps until finding either the inner or the outer ring.
Anderson S. Bibiano-Filho, Jandson F. O. de Freitas, Marcos G. E. da Luz, Gandhimohan M. Viswanathan, Ernesto P. Raposo   +4 more
doaj   +2 more sources

A Quantum Random Walk Search Algorithm [PDF]

Physical Review A, 2002
Quantum random walks on graphs have been shown to display many interesting properties, including exponentially fast hitting times when compared with their classical counterparts.
A. Childs, C. Bennett, E. Farhi, J. Watrous, Julia Kempe, K. Birgitta Whaley, L. Grover, Neil Shenvi, Y. Aharonov   +8 more
core   +4 more sources

Tuning Deep Learning for Predicting Aluminum Prices Under Different Sampling: Bayesian Optimization Versus Random Search [PDF]

Entropy
This work implements deep learning models to capture non-linear and complex data behavior in aluminum price data. Deep learning models include the long short-term memory (LSTM) and deep feedforward neural networks (FFNN).
Alicia Estefania Antonio Figueroa, Salim Lahmiri   +1 more
doaj   +2 more sources

Perbandingan Kinerja Algoritma Optimasi pada Metode Random Forest untuk Deteksi Kegagalan Jantung

Jurnal Rekayasa Elektrika, 2022
Abstrak— Jantung merupakan salah satu organ terpenting dalam tubuh manusia. Kegagalan jantung pada pasien dapat mengakibatkan dampak yang vital dan berujung pada kematian.
Unang Sunarya, Tita Haryanti
doaj   +1 more source

Evaluation of Heuristics for Taken’s Theorem Hyper-Parameters Optimization in Time Series Forecasting Tasks

Engineering Proceedings, 2023
This study compares three methods for optimizing the hyper-parameters m (embedding dimension) and τ (time delay) from Taken’s Theorem for time-series forecasting to train a Support Vector Regression system (SVR).
Rodrigo Hernandez-Mazariegos, Jose Ortiz-Bejar, Jesus Ortiz-Bejar   +2 more
doaj   +1 more source

Behavior Selection Metaheuristic Search Algorithm for the Pollination Optimization: A Simulation Case of Cocoa Flowers

Algorithms, 2021
Since nature is an excellent source of inspiration for optimization methods, many optimization algorithms have been proposed, are inspired by nature, and are modified to solve various optimization problems.
Willa Ariela Syafruddin, Rio Mukhtarom Paweroi, Mario Köppen   +2 more
doaj   +1 more source

Parsimonious Optimization of Multitask Neural Network Hyperparameters

Molecules, 2021
Neural networks are rapidly gaining popularity in chemical modeling and Quantitative Structure–Activity Relationship (QSAR) thanks to their ability to handle multitask problems.
Cecile Valsecchi, Viviana Consonni, Roberto Todeschini, Marco Emilio Orlandi, Fabio Gosetti, Davide Ballabio   +5 more
doaj   +1 more source

Rapid Guessing in Low-Stakes Assessments: Finding the Optimal Response Time Threshold with Random Search and Genetic Algorithm

Algorithms, 2023
Rapid guessing is an aberrant response behavior that commonly occurs in low-stakes assessments with little to no formal consequences for students. Recently, the availability of response time (RT) information in computer-based assessments has motivated ...
Okan Bulut, Guher Gorgun, Tarid Wongvorachan, Bin Tan   +3 more
doaj   +1 more source

Optimizing Persistent Random Searches [PDF]

Physical Review Letters, 2012
4 pages, 4 ...
Tejedor, Vincent, Voituriez, Raphael, Bénichou, Olivier   +2 more
openaire   +3 more sources