Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
We develop an architecture for a product master model that federates CAD systems with downstream application processes for dierent feature views that are part of the design proce...
—The relevance of instruction parallelization and optimal event scheduling is currently increasing. In particular, because of the high amount of computational power available tod...