5
Publications
954
Citations
5
H-Index
2005
Active since
Affiliations
Hai-Jun Yang is an author at University of Michigan specializing in engineering, computer science, and pattern recognition.
Top concepts
EngineeringData MiningComputer ScienceMachine LearningKnowledge DiscoveryPattern RecognitionData ScienceArtificial IntelligenceEducationCalibration
Publications per year
2005–2016
5
5
Boosted decision trees as an alternative to artificial neural networks for particle identification
Byron P. Roe, Hai-Jun Yang, Ji Zhu et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2005 · 525 citations · Full text
BOOSTED DECISION TREES, A POWERFUL EVENT CLASSIFIER
Byron P. Roe, Hai-Jun Yang, Ji Zhu · 2006 · 26 citations
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