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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...
ECIS
2000
15 years 7 months ago
A Systematic Analysis of the Effect of Task Clarity on Software Development Design
Two different types of development tasks are distinguished: Clear and unclear development tasks. Based on hypotheses from organizational theory two different designs of software d...
Werner Mellis
SASO
2007
IEEE
16 years 18 days ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo
ITS
1998
Springer
102views Multimedia» more  ITS 1998»
15 years 10 months ago
Verbal Coaching During a Real-Time Task
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROV...
Bruce Roberts, Nicholas J. Pioch, William Ferguson
INFOCOM
2010
IEEE
15 years 4 months ago
A Systematic Approach for Evolving VLAN Designs
—Enterprise networks are large and complex, and their designs must be frequently altered to adapt to changing organizational needs. The process of redesigning and reconfiguring ...
Xin Sun, Yu-Wei Eric Sung, Sunil Krothapalli, Sanj...