Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
System operators play a critical role in maintaining server dependability yet lack powerful tools to help them do so. To help address this unfulfilled need, we describe Operator U...
Analog and hybrid computation methods are areas of continued interest, particularly in specific applications where traditional digital computation techniques cannot achieve the de...
This paper presents a method to deal the dynamic stability for a mobile manipulator. Although the system has static stability, manipulation on the moving base or mobile locomotion...
Jinhyun Kim, Wan Kyun Chung, Youngil Youm, Beom He...
PCF, as considered in this paper, is a lazy typed lambda calculus with functions, pairing, fixed-point operators and arbitrary algebraic data types. The natural equational axioms ...