Results 11 to 20 of about 539,396 (266)
Plant Disease Detection Using Deep Convolutional Neural Network
Applied Sciences, 2022 In this research, we proposed a novel 14-layered deep convolutional neural network (14-DCNN) to detect plant leaf diseases using leaf images. A new dataset was created using various open datasets.
J. Arun Pandian +5 more
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Partitioning Search Spaces of a Randomized Search [PDF]
Fundamenta Informaticae, 2009 This paper studies the following question: given an instance of the propositional satisfiability problem, a randomized satisfiability solver, and a cluster of n computers, what is the best way to use the computers to solve the instance? Two approaches, simple distribution and search space partitioning as well as their combinations are investigated both
Niemelä Ilkka +2 more
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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
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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
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Stagnation Detection with Randomized Local Search* [PDF]
Evolutionary Computation, 2021 AbstractRecently a mechanism called stagnation detection was proposed that automatically adjusts the mutation rate of evolutionary algorithms when they encounter local optima. The so-called SD-(1+1) EA introduced by Rajabi and Witt (2022) adds stagnation detection to the classical (1+1) EA with standard bit mutation.
Amirhossein Rajabi, Carsten Witt
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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
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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
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Random Hyperplane Search Trees
SIAM Journal on Computing, 2009 Summary: A hyperplane search tree is a binary tree used to store a set \(S\) of \(n\) \(d\)-dimensional data points. In a random hyperplane search tree for \(S\), the root represents a hyperplane defined by \(d\) data points drawn uniformly at random from \(S\).
Devroye, L, King, J, McDiarmid, C
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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
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Optimum Design of Reinforced Cylindrical Shells Under Combined Axial Compression and Internal Pressure [PDF]
Journal of Mechanical Engineering, 2021 This paper discusses the use of the random search method for the optimal design of single-layered rib-reinforced cylindrical shells under combined axial compression and internal pressure with account taken of the elastic-plastic material behavior.
Heorhii V. Filatov
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