An overview of multi-task learning
As a promising area in machine learning, multi-task learning (MTL) aims to improve the
performance of multiple related learning tasks by leveraging useful information among them …
performance of multiple related learning tasks by leveraging useful information among them …
The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2013 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
A survey on multi-task learning
Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to
leverage useful information contained in multiple related tasks to help improve the …
leverage useful information contained in multiple related tasks to help improve the …
Feature selection based on structured sparsity: A comprehensive study
Feature selection (FS) is an important component of many pattern recognition tasks. In these
tasks, one is often confronted with very high-dimensional data. FS algorithms are designed …
tasks, one is often confronted with very high-dimensional data. FS algorithms are designed …
Block-row sparse multiview multilabel learning for image classification
In image analysis, the images are often represented by multiple visual features (also known
as multiview features), that aim to better interpret them for achieving remarkable …
as multiview features), that aim to better interpret them for achieving remarkable …
RNMFLP: predicting circRNA–disease associations based on robust nonnegative matrix factorization and label propagation
Circular RNAs (circRNAs) are a class of structurally stable endogenous noncoding RNA
molecules. Increasing studies indicate that circRNAs play vital roles in human diseases …
molecules. Increasing studies indicate that circRNAs play vital roles in human diseases …
A convex formulation for semi-supervised multi-label feature selection
Explosive growth of multimedia data has brought challenge of how to efficiently browse,
retrieve and organize these data. Under this circumstance, different approaches have been …
retrieve and organize these data. Under this circumstance, different approaches have been …
Continuous probability distribution prediction of image emotions via multitask shared sparse regression
Previous works on image emotion analysis mainly focused on predicting the dominant
emotion category or the average dimension values of an image for affective image …
emotion category or the average dimension values of an image for affective image …
Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease
Abstract Rey's Auditory Verbal Learning Test (RAVLT) is a powerful neuropsychological tool
for testing episodic memory, which is widely used for the cognitive assessment in dementia …
for testing episodic memory, which is widely used for the cognitive assessment in dementia …
2014 Update of the Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception
MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2015 - Elsevier
Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing,
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …
longitudinal, multicenter study designed to develop clinical, imaging, genetic, and …