Results 11 to 20 of about 12,241,994 (329)

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

open access: yesJurnal 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

Implicit search trails for video recommendation [PDF]

open access: yes, 2008
In this demo paper we demonstrate our approach and system for using implicit actions involved in video search to provide recommendations to users. The goal of this system is to improve the quality of the results that users find, and in doing so, help ...
Vallet, D.   +3 more
core   +8 more sources

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

open access: yesEngineering 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   +2 more
doaj   +1 more source

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

open access: yesAlgorithms, 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   +2 more
doaj   +1 more source

Parsimonious Optimization of Multitask Neural Network Hyperparameters

open access: yesMolecules, 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   +5 more
doaj   +1 more source

An Approach to Hyperparameter Tuning in Transfer Learning for Driver Drowsiness Detection Based on Bayesian Optimization and Random Search

open access: yesInternational Journal of Advanced Computer Science and Applications, 2023
—Driver drowsiness is a critical factor in road safety, and developing accurate models for detecting it is essential. Transfer learning has been shown to be an effective technique for driver drowsiness detection, as it enables models to leverage large ...
Hoang-Tu Vo   +2 more
semanticscholar   +1 more source

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

open access: yesAlgorithms, 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   +3 more
doaj   +1 more source

Square Attack: a query-efficient black-box adversarial attack via random search [PDF]

open access: yesEuropean Conference on Computer Vision, 2019
We propose the Square Attack, a score-based black-box $l_2$- and $l_\infty$-adversarial attack that does not rely on local gradient information and thus is not affected by gradient masking.
Maksym Andriushchenko   +3 more
semanticscholar   +1 more source

Effects of Automatic Hyperparameter Tuning on the Performance of Multi‐Variate Deep Learning‐Based Rainfall Nowcasting

open access: yesWater Resources Research, 2023
Rainfall nowcasting has become increasingly important as we move into an era where more and more storms are occurring in many countries as a result of climate change.
Amirmasoud Amini   +2 more
doaj   +1 more source

On the Linear Convergence of Random Search for Discrete-Time LQR

open access: yesIEEE Control Systems Letters, 2021
Model-free reinforcement learning techniques directly search over the parameter space of controllers. Although this often amounts to solving a nonconvex optimization problem, for benchmark control problems simple local search methods exhibit competitive ...
Hesameddin Mohammadi   +2 more
semanticscholar   +1 more source

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