is the level of abstraction: a logical model ignores the constraints that the underlying database technology imposes and presents a simplified view. Sometimes physical database des...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Shrinking time-to-market and high demand for productivity has driven traditional hardware designers to use design methodologies that start from high-level languages. However, meet...
At the present time, several shortcomings prevent the more effective use and more intense application of web information systems. Recent developments that are subsumed by the term...
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...
Yuji Zhang, Jianhua Xuan, Benildo de los Reyes, Ro...