A multi-task learning formulation for predicting disease progression

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2011, Pages 814-822

  Zhou, Jiayu ^a   Yuan, Lei ^a   Liu, Jun ^a   Ye, Jieping ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Alzheimer's disease; Cognitive score; Group lasso; Multi task learning; Regression; Stability selection

Indexed keywords

DIAGNOSIS; FORECASTING; LEARNING SYSTEMS; NEURODEGENERATIVE DISEASES; REGRESSION ANALYSIS;

ALZHEIMERS DISEASE; COGNITIVE SCORE; DISEASE PROGRESSION; GROUP LASSOS; LEARNING FORMULATION; MINI-MENTAL STATE EXAMINATION; MULTITASK LEARNING; REGRESSION; STABILITY SELECTIONS; TIME POINTS;

NEUROIMAGING;

EID: 80052666240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2020408.2020549     Document Type: Conference Paper

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