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ATAL
2007
Springer
14 years 1 months ago
A unified framework for multi-agent agreement
Multi-Agent Agreement problems (MAP) - the ability of a population of agents to search out and converge on a common state - are central issues in many multi-agent settings, from d...
Kiran Lakkaraju, Les Gasser
BROADNETS
2004
IEEE
14 years 23 days ago
Random Asynchronous Wakeup Protocol for Sensor Networks
This paper presents Random Asynchronous Wakeup (RAW), a power saving technique for sensor networks that reduces energy consumption without significantly affecting the latency or c...
Vamsi Paruchuri, Shivakumar Basavaraju, Arjan Durr...
CP
2006
Springer
14 years 22 days ago
Dynamic Symmetry Breaking Restarted
ion of a given partial assignment of values to variables. Compared with other symmetry breaking techniques, the big advantage of dynamic symmetry breaking is that it can accommodat...
Daniel S. Heller, Meinolf Sellmann
HIS
2007
13 years 10 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
NIPS
2008
13 years 10 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung