Predicting and discovering drug-drug interactions (DDIs) using machine
l...
Robots performing tasks in warehouses provide the first example of
wide-...
We consider the problem of coordinating a fleet of robots in a warehouse...
In this work, we propose a novel knowledge base alignment technique base...
We consider the problem of discriminatively learning restricted Boltzman...
We consider the problem of structure learning for Gaifman models and lea...
Predicting and discovering drug-drug interactions (DDIs) is an important...
While deep networks have been enormously successful over the last decade...
Recently, deep models have had considerable success in several tasks,
es...
Recently, deep models have been successfully applied in several applicat...
We consider the problem of learning Relational Logistic Regression (RLR)...