Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Existing DRAM controllers employ rigid, non-adaptive scheduling and buffer management policies when servicing prefetch requests. Some controllers treat prefetch requests the same ...
Database caching supports declarative query processing close to the application. Using a full-fledged DBMS as cache manager, it enables the evaluation of specific project-select-...
We propose a distributed data management scheme for large data visualization that emphasizes efficient data sharing and access. To minimize data access time and support users wit...
Jinzhu Gao, Jian Huang, C. Ryan Johnson, Scott Atc...