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Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data
Research article (2016 International Joint Conference on Neural Networks (IJCNN), 2016) · cited 40× · AI/ML
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data
Summary
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data is a scholarly article[1].
Key Facts
Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data. Retrieved May 24, 2026, from https://4ort.xyz/entity/meta-learning-with-neural-networks-and-landmarking-for-forecasting-model-selection-an-empirical-evaluation-of-different-
MLA“Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/meta-learning-with-neural-networks-and-landmarking-for-forecasting-model-selection-an-empirical-evaluation-of-different-.
BibTeX@misc{4ortxyz_meta-learning-with-neural-networks-and-landmarking-for-forecasting-model-selection-an-empirical-evaluation-of-different-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data}}, year = {2026}, url = {https://4ort.xyz/entity/meta-learning-with-neural-networks-and-landmarking-for-forecasting-model-selection-an-empirical-evaluation-of-different-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Meta-learning with neural networks and landmarking for forecasting model selection an empirical evaluation of different feature sets applied to industry data — https://4ort.xyz/entity/meta-learning-with-neural-networks-and-landmarking-for-forecasting-model-selection-an-empirical-evaluation-of-different- (retrieved 2026-05-24)
