Litcius/Paper detail

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems

Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan Winkler

2020Lecture notes in computer science15 citationsDOI

Topics & Concepts

Black boxWhite boxBenchmark (surveying)Computer scienceSymbolic regressionRandom forestMachine learningArtificial intelligenceSet (abstract data type)Test setRegressionTest suiteRegression analysisData setData miningTest caseGenetic programmingStatisticsMathematicsGeodesyGeographyProgramming languageNeural Networks and ApplicationsEvolutionary Algorithms and ApplicationsMachine Learning and Data Classification
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems | Litcius