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ICASSP
2011
IEEE
14 years 10 months ago
Application specific loss minimization using gradient boosting
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...
USENIX
2003
15 years 7 months ago
Undo for Operators: Building an Undoable E-mail Store
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...
Aaron B. Brown, David A. Patterson
HICSS
2007
IEEE
136views Biometrics» more  HICSS 2007»
16 years 25 days ago
Analog and Hybrid Computation Approaches for Static Power Flow
Analog and hybrid computation methods are areas of continued interest, particularly in specific applications where traditional digital computation techniques cannot achieve the de...
Aaron St. Leger, Chika O. Nwankpa
ICRA
2002
IEEE
148views Robotics» more  ICRA 2002»
15 years 11 months ago
Real-Time ZMP Compensation Method using Null Motion for Mobile Manipulators
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...
LFP
1990
171views more  LFP 1990»
15 years 7 months ago
Operational and Axiomatic Semantics of PCF
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 ...
Brian T. Howard, John C. Mitchell