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ICML
1998
IEEE
15 years 10 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
VLSID
2003
IEEE
103views VLSI» more  VLSID 2003»
15 years 10 months ago
Minimum Dynamic Power CMOS Circuit Design by a Reduced Constraint Set Linear Program
In the previous work, the problem of nding gate delays to eliminate glitches has been solved by linear programs (LP) requiring an exponentially large number ofconstraints. By intr...
Tezaswi Raja, Vishwani D. Agrawal, Michael L. Bush...
ICC
2007
IEEE
110views Communications» more  ICC 2007»
15 years 4 months ago
Resource Optimization to Provision a Virtual Private Network Using the Hose Model
— Virtual Private Networks (VPN) provide a secure and reliable communication between customer sites over a shared network. With increase in number and size of VPNs, providers nee...
Monia Ghobadi, Sudhakar Ganti, Gholamali C. Shoja
RTAS
1999
IEEE
15 years 2 months ago
On Quality of Service Optimization with Discrete QoS Options
We present a QoS management framework that enables us to quantitatively measure QoS, and to analytically plan and allocate resources. In this model, end users' quality prefer...
Chen Lee, John P. Lehoczky, Ragunathan Rajkumar, D...
ICML
2008
IEEE
15 years 10 months ago
Training SVM with indefinite kernels
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
Jianhui Chen, Jieping Ye