High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

The Graph, the decentralized indexing system that works much like Google for blockchains, has introduced a data standard for Web3. Called GRC-20, the standard would define how information is ...

Researchers present a machine learning framework that forecasts individual mental health deterioration using limited, real-world data from wearables and smartphones. This enables personalized early ...

Vinicius Diniz Mayrink, Joseph Edward Lucas, SPARSE LATENT FACTOR MODELS WITH INTERACTIONS: ANALYSIS OF GENE EXPRESSION DATA, The Annals of Applied Statistics, Vol. 7, No. 2 (June 2013), pp. 799-822 ...

We propose a semiparametric method for conducting scale-invariant sparse principal component analysis (PCA) on high-dimensional non-Gaussian data. Compared with sparse PCA, our method has a weaker ...