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» On Benchmarking Stochastic Global Optimization Algorithms
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ICML
2009
IEEE
14 years 8 months ago
A convex formulation for learning shared structures from multiple tasks
Multi-task learning (MTL) aims to improve generalization performance by learning multiple related tasks simultaneously. In this paper, we consider the problem of learning shared s...
Jianhui Chen, Lei Tang, Jun Liu, Jieping Ye
WECWIS
2002
IEEE
129views ECommerce» more  WECWIS 2002»
14 years 16 days ago
On the Sensitivity of Incremental Algorithms for Combinatorial Auctions
Despite the large amounts of runtime needed to adequately solve a combinatorial auction (CA), existing iterative CA auction protocols require winner determination during every rou...
Ryan Kastner, Christina Hsieh, Miodrag Potkonjak, ...
ICC
2007
IEEE
145views Communications» more  ICC 2007»
14 years 2 months ago
Adaptive Radial Basis Function Detector for Beamforming
— We consider nonlinear detection in rank-deficient multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detecti...
Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo
ATAL
2003
Springer
14 years 26 days ago
Optimizing information exchange in cooperative multi-agent systems
Decentralized control of a cooperative multi-agent system is the problem faced by multiple decision-makers that share a common set of objectives. The decision-makers may be robots...
Claudia V. Goldman, Shlomo Zilberstein
ISPD
2005
ACM
205views Hardware» more  ISPD 2005»
14 years 1 months ago
Coupling aware timing optimization and antenna avoidance in layer assignment
The sustained progress of VLSI technology has altered the landscape of routing which is a major physical design stage. For timing driven routings, traditional approaches which con...
Di Wu, Jiang Hu, Rabi N. Mahapatra