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JFR
2006
140views more  JFR 2006»
13 years 10 months ago
Improving robot navigation through self-supervised online learning
In mobile robotics, there are often features that, while potentially powerful for improving navigation, prove difficult to profit from as they generalize poorly to novel situations...
Boris Sofman, Ellie Lin, J. Andrew Bagnell, John C...
ML
2008
ACM
101views Machine Learning» more  ML 2008»
13 years 10 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
MONET
2006
129views more  MONET 2006»
13 years 10 months ago
Enabling Intelligent Handovers in Heterogeneous Wireless Networks
In the future Wireless Internet, mobile nodes will be able to choose between providers offering competing services at a much finer granularity than we find today. Rather than month...
Robert C. Chalmers, Govind Krishnamurthi, Kevin C....
PC
2008
123views Management» more  PC 2008»
13 years 10 months ago
The impact of heterogeneity on master-slave scheduling
In this paper, we assess the impact of heterogeneity on scheduling independent tasks on master-slave platforms. We assume a realistic one-port model where the master can communica...
Jean-Francois Pineau, Yves Robert, Fréd&eac...
IOR
2007
89views more  IOR 2007»
13 years 10 months ago
Fast, Fair, and Efficient Flows in Networks
Abstract. We study the problem of minimizing the maximum latency of flows in networks with congestion. We show that this problem is NP-hard, even when all arc latency functions ar...
José R. Correa, Andreas S. Schulz, Nicol&aa...