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» The Complexity of Global Constraints
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AI
2005
Springer
15 years 14 days ago
Adopt: asynchronous distributed constraint optimization with quality guarantees
The Distributed Constraint Optimization Problem (DCOP) is able to model a wide variety of distributed reasoning tasks that arise in multiagent systems. Unfortunately, existing met...
Pragnesh Jay Modi, Wei-Min Shen, Milind Tambe, Mak...
ICML
2009
IEEE
16 years 1 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
95
Voted
ICCAD
1997
IEEE
90views Hardware» more  ICCAD 1997»
15 years 4 months ago
A hierarchical decomposition methodology for multistage clock circuits
† This paper describes a novel methodology to automate the design of the interconnect distribution for multistage clock circuits. We introduce two key ideas. First, a hierarchica...
Gary Ellis, Lawrence T. Pileggi, Rob A. Rutenbar
TSP
2010
14 years 7 months ago
Optimal linear fusion for distributed detection via semidefinite programming
Consider the problem of signal detection via multiple distributed noisy sensors. We propose a linear decision fusion rule to combine the local statistics from individual sensors i...
Zhi Quan, Wing-Kin Ma, Shuguang Cui, Ali H. Sayed
CP
2004
Springer
15 years 4 months ago
Set Variables and Local Search
Many combinatorial (optimisation) problems have natural models based on, or including, set variables and set constraints. This was already known to the constraint programming commu...
Magnus Ågren