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99
Voted
FLAIRS
2007
15 years 2 months ago
2007
Constraint Satisfaction Problems are ubiquitous in Artificial Intelligence. Over the past decade significant advances have been made in terms of the size of problem instance tha...
94
Voted
DAC
2010
ACM
15 years 2 months ago
2010
ACM
In this study, we propose the use of specialized influence models to capture the dynamic behavior of a Network-onChip (NoC). Our goal is to construct a versatile modeling framewor...
103
Voted
NETWORKING
2007
15 years 2 months ago
2007
We propose a novel routing framework called PWave that supports multi-source multi-sink anycast routing for wireless sensor networks. A distributed and scalable potential field es...
98
Voted
NIPS
2007
15 years 2 months ago
2007
Bayesian model averaging, model selection and their approximations such as BIC are generally statistically consistent, but sometimes achieve slower rates of convergence than other...
117
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ICASSP
2010
IEEE
15 years 23 days ago
2010
IEEE
In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...