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NIPS
1997
13 years 10 months ago
Relative Loss Bounds for Multidimensional Regression Problems
We study on-line generalized linear regression with multidimensional outputs, i.e., neural networks with multiple output nodes but no hidden nodes. We allow at the final layer tra...
Jyrki Kivinen, Manfred K. Warmuth
IPTPS
2005
Springer
14 years 2 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
CN
2004
94views more  CN 2004»
13 years 8 months ago
A performance study of power-saving polices for Wi-Fi hotspots
Wi-Fi hotspots are one of the most promising scenarios for mobile computing. In this scenario, a very limiting factor is the shortage of energetic resources in mobile devices. Leg...
Giuseppe Anastasi, Marco Conti, Enrico Gregori, An...
UM
2007
Springer
14 years 2 months ago
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks
A standing question in the field of Intelligent Tutoring Systems and User Modeling in general is what is the appropriate level of model granularity (how many skills to model) and h...
Zachary A. Pardos, Neil T. Heffernan, Brigham Ande...
RTCSA
2008
IEEE
14 years 3 months ago
Real-Time Communications Over Cluster-Tree Sensor Networks with Mobile Sink Behaviour
· Modelling the fundamental performance limits of Wireless Sensor Networks (WSNs) is of paramount importance to understand the behaviour of WSN under worst-case conditions and to...
Petr Jurcík, Ricardo Severino, Anis Koubaa,...