A multitask multiple kernel learning formulation for discriminating early- And late-stage cancers

Mathematics

• Cancer 100%
• Learning 88%
• Genomics 76%
• kernel 66%
• Formulation 61%
• Support Vector Machine 40%
• Pathway 38%
• Machine Learning 35%
• Tumor 34%
• Knowledge Extraction 29%
• Similarity 27%
• Random Forest 23%
• Cutting Plane Algorithm 22%
• Prognosis 22%
• Interpretability 21%
• Relationships 19%
• Learning Algorithm 19%
• Progression 18%
• Replication 18%
• Availability 17%
• Clustering 15%
• Experiment 12%

Engineering & Materials Science

• Tumors 66%
• Support vector machines 51%
• Machine learning 47%
• Random forests 34%
• Learning algorithms 26%
• Availability 22%
• Experiments 11%

Medicine & Life Sciences

• Learning 71%
• Neoplasms 31%
• Support Vector Machine 29%
• Machine Learning 27%
• Forests 14%
• Cluster Analysis 10%
• Disease Progression 9%
• Therapeutics 1%