In this paper, we present a semi-supervised clustering method for microblog in which both word-level and microblog (document)-level constraints are automatically generated totally based on statistical information rather than any kind of external know
Graph-based Semi-Supervised Learning (SSL) methods are the widely used SSL methods due to their high accuracy. They can well meet the manifold assumption with high computational cost, but don't meet the cluster assumption. In this paper, we propose a
Accurate estimation of cognitive scores for patients can help track the progress of neurological diseases. In this paper, we present a novel semi-supervised multimodal relevance vector regression (SM-RVR) method for predicting clinical scores of neur
