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PERCOM
2008
ACM
16 years 28 days ago
Location Fingerprint Analyses Toward Efficient Indoor Positioning
Abstract--Analytical models to evaluate and predict "precision" performance of indoor positioning systems based on location fingerprinting are lacking. Such models can be...
Nattapong Swangmuang, Prashant Krishnamurthy
SODA
2001
ACM
79views Algorithms» more  SODA 2001»
15 years 2 months ago
Learning Markov networks: maximum bounded tree-width graphs
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
David R. Karger, Nathan Srebro
SIROCCO
1997
15 years 2 months ago
Static Frequency Assignment in Cellular Networks
A cellular network is generally modeled as a subgraph of the triangular lattice. In the static frequency assignment problem, each vertex of the graph is a base station in the netw...
Lata Narayanan, Sunil M. Shende
NIPS
1994
15 years 2 months ago
Efficient Methods for Dealing with Missing Data in Supervised Learning
We present efficient algorithms for dealing with the problem of missing inputs (incomplete feature vectors) during training and recall. Our approach is based on the approximation ...
Volker Tresp, Ralph Neuneier, Subutai Ahmad
IWCMC
2006
ACM
15 years 7 months ago
Performance evaluation of joint downlink scheduling in multi-cellular OFDMA systems based on IEEE 802.16a
The employment of the OFDMA transmission technique in broadband radio systems shows several benefits. Especially the exploitation of multi-user diversity with the help of sophisti...
Michael Einhaus, Ole Klein, Bernhard Walke, Daniel...