Výsledky vyhľadávania - "algorithm selection"

Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods Autor Fan, Zhenan, Ghaddar, Bissan, Wang, Xinglu, Xing, Linzi, Zhang, Yong, Zhou, Zirui

“…The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research…”
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Meta-QSAR: a large-scale application of meta-learning to drug design and discovery Autor Olier, Ivan, Sadawi, Noureddin, Bickerton, G. Richard, Vanschoren, Joaquin, Grosan, Crina, Soldatova, Larisa, King, Ross D.

“…We investigate the learning of quantitative structure activity relationships (QSARs) as a case-study of meta-learning. This application area is of the highest…”
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A survey of fitness landscape analysis for optimization Autor Zou, Feng, Chen, Debao, Liu, Hui, Cao, Siyu, Ji, Xuying, Zhang, Yan

“…•FLA has attracted attention of researchers for its research significance and application.•This paper attempts to give an overview of fitness landscape…”
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Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics Autor Rijcken, Emil, Zervanou, Kalliopi, Mosteiro, Pablo, Scheepers, Floortje, Spruit, Marco, Kaymak, Uzay

“…Topic modeling is a prevalent task for discovering the latent structure of a corpus, identifying a set of topics that represent the underlying themes of the…”
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ASlib: A benchmark library for algorithm selection Autor Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars, Lindauer, Marius, Malitsky, Yuri, Fréchette, Alexandre, Hoos, Holger, Hutter, Frank, Leyton-Brown, Kevin, Tierney, Kevin, Vanschoren, Joaquin

“…The task of algorithm selection involves choosing an algorithm from a set of algorithms on a per-instance basis in order to exploit the varying performance of…”
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Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering Autor Cunha, Tiago, Soares, Carlos, de Carvalho, André C.P.L.F.

“…The problem of information overload motivated the appearance of Recommender Systems. From the several open problems in this area, the decision of which is the…”
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Speeding up algorithm selection using average ranking and active testing by introducing runtime Autor Abdulrahman, Salisu Mamman, Brazdil, Pavel, van Rijn, Jan N., Vanschoren, Joaquin

“…Algorithm selection methods can be speeded-up substantially by incorporating multi-objective measures that give preference to algorithms that are both…”
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Selecting appropriate machine learning methods for digital soil mapping Autor Khaledian, Yones, Miller, Bradley A

“…Digital soil mapping (DSM) increasingly makes use of machine learning algorithms to identify relationships between soil properties and multiple covariates that…”
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Instance space analysis and algorithm selection for the job shop scheduling problem Autor Strassl, Simon, Musliu, Nysret

“…This paper is concerned with the job shop scheduling problem, a well-known, NP-hard problem that has been extensively studied in the literature, but for which,…”
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Automated Algorithm Selection: Survey and Perspectives Autor Kerschke, Pascal, Hoos, Holger H, Neumann, Frank, Trautmann, Heike

“…It has long been observed that for practically any computational problem that has been intensely studied, different instances are best solved using different…”
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An offline-online learning framework combining meta-learning and reinforcement learning for evolutionary multi-objective optimization Autor Li, Shuxiang, Pang, Yongsheng, Huang, Zhaorong, Chu, Xianghua

“…•An offline-online learning framework combining meta-learning and reinforcement learning (O2-MRL) is first proposed for evolutionary multi-objective…”
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning Autor Kerschke, Pascal, Trautmann, Heike

“…In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems'…”
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Isolation forests and landmarking-based representations for clustering algorithm recommendation using meta-learning Autor Gabbay, Itay, Shapira, Bracha, Rokach, Lior

“…The data clustering problem can be described as the task of organizing data into groups, where in each group the objects share some similar attributes. Most of…”
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Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges Autor Muñoz, Mario A., Sun, Yuan, Kirley, Michael, Halgamuge, Saman K.

“…Selecting the most appropriate algorithm to use when attempting to solve a black-box continuous optimization problem is a challenging task. Such problems…”
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One-step learning algorithm selection for classification via convolutional neural networks Autor Maldonado, Sebastián, Vairetti, Carla, Figueroa, Ignacio

“…As with any task, the process of building machine learning models can benefit from prior experience. Meta-learning for classifier selection leverages knowledge…”
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Meta‐learning how to forecast time series Autor Talagala, Thiyanga S., Hyndman, Rob J., Athanasopoulos, George

“…Features of time series are useful in identifying suitable models for forecasting. We present a general framework, labelled Feature‐based FORecast Model…”
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Machine learning: Next promising trend for microplastics study Autor Su, Jiming, Zhang, Fupeng, Yu, Chuanxiu, Zhang, Yingshuang, Wang, Jianchao, Wang, Chongqing, Wang, Hui, Jiang, Hongru

“…Microplastics (MPs), as an emerging pollutant, pose a significant threat to humans and ecosystems. However, traditional MPs characterization methods are…”
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Empirical hardness of finding optimal Bayesian network structures: algorithm selection and runtime prediction Autor Malone, Brandon, Kangas, Kustaa, Järvisalo, Matti, Koivisto, Mikko, Myllymäki, Petri

“…Various algorithms have been proposed for finding a Bayesian network structure that is guaranteed to maximize a given scoring function. Implementations of…”
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A Survey of Advances in Landscape Analysis for Optimisation Autor Malan, Katherine Mary

“…Fitness landscapes were proposed in 1932 as an abstract notion for understanding biological evolution and were later used to explain evolutionary algorithm…”
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Automatic selection of clustering algorithms using supervised graph embedding Autor Cohen-Shapira, Noy, Rokach, Lior

“…The widespread adoption of machine learning (ML) techniques and the extensive expertise required to apply them have led to increased interest in automated ML…”
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