Litcius/Paper detail

Learning to Make Chemical Predictions: The Interplay of Feature Representation, Data, and Machine Learning Methods

Mojtaba Haghighatlari, Jie Li, Farnaz Heidar‐Zadeh, Yuchen Liu, Xingyi Guan, Teresa Head‐Gordon

2020Chem118 citationsDOIOpen Access PDF

Topics & Concepts

Machine learningArtificial intelligenceComputer scienceProperty (philosophy)Chemical spaceFeature (linguistics)Representation (politics)Perspective (graphical)Kernel (algebra)Kernel methodFeature learningFocus (optics)Feature vectorRandom forestSupport vector machineMathematicsChemistryDrug discoveryLinguisticsPhysicsOpticsPoliticsPhilosophyLawPolitical scienceCombinatoricsEpistemologyBiochemistryComputational Drug Discovery MethodsMachine Learning in Materials ScienceMetabolomics and Mass Spectrometry Studies
Learning to Make Chemical Predictions: The Interplay of Feature Representation, Data, and Machine Learning Methods | Litcius