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» Using Gaussian Processes to Optimize Expensive Functions
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INFOCOM
2007
IEEE
14 years 5 months ago
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
Junshan Zhang, Dong Zheng, Mung Chiang
LFP
1992
140views more  LFP 1992»
13 years 12 months ago
Global Tagging Optimization by Type Inference
Tag handling accounts for a substantial amount of execution cost in latently typed languages such as Common LISP and Scheme, especially on architectures that provide no special ha...
Fritz Henglein
TWC
2010
13 years 5 months ago
Distributed Node Selection for Sequential Estimation over Noisy Communication Channels
This paper proposes a framework for distributed sequential parameter estimation in wireless sensor networks. In the proposed scheme, the estimator is updated sequentially at the c...
Thakshila Wimalajeewa, Sudharman K. Jayaweera
ML
2007
ACM
131views Machine Learning» more  ML 2007»
13 years 10 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
GECCO
2006
Springer
196views Optimization» more  GECCO 2006»
14 years 2 months ago
An anticipatory approach to improve XCSF
XCSF is a novel version of learning classifier systems (LCS) which extends the typical concept of LCS by introducing computable classifier prediction. In XCSF Classifier predictio...
Amin Nikanjam, Adel Torkaman Rahmani