Amanote Research

Amanote Research

  • Register
  • Sign In

Pre-Course Student Performance Prediction With Multi-Instance Multi-Label Learning

Science China Information Sciences- China

doi 10.1007/s11432-017-9371-y

Full Text

Abstract

Available in

Categories

Computer Science

Date

June 27, 2018

Authors

Yuling MaChaoran CuiXiushan NieGongping YangKashif ShaheedYilong Yin

Publisher

Springer Science and Business Media LLC


Related search

Multi-Instance Multi-Label Learning for Whole Slide Breast Histopathology

2016English

Transferring CNNS to Multi-Instance Multi-Label Classification on Small Datasets

2017English

Multi-Instance Metric Transfer Learning for Genome-Wide Protein Function Prediction

Scientific Reports
Multidisciplinary
2017English

Multi-Label Chinese Comments Categorization: Comparison of Multi-Label Learning Algorithms

Journal of New Media
2019English

Multi-Label Classification by Mining Label and Instance Correlations From Heterogeneous Information Networks

2013English

Robust and Discriminative Distance for Multi-Instance Learning

2012English

Multi-Objective Genetic Programming for Multiple Instance Learning

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Multi-Label LeGo — Enhancing Multi-Label Classifiers With Local Patterns

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Two Stage Architecture for Multi-Label Learning

Pattern Recognition
Signal ProcessingComputer VisionPattern RecognitionArtificial IntelligenceSoftware
2012English

Amanote Research

Note-taking for researchers

Follow Amanote


© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy