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KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 6 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky
AI
2002
Springer
15 years 6 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
PODC
2009
ACM
16 years 6 months ago
On a selfish caching game
In this work we define and study a new model for the caching problem in a heterogeneous wireless network under a flash-crowd scenario. Using non-cooperative game theory, we cast t...
Pietro Michiardi, Carla-Fabiana Chiasserini, Claud...
INFOCOM
2009
IEEE
16 years 1 months ago
Multirate Anypath Routing in Wireless Mesh Networks
—In this paper, we present a new routing paradigm that generalizes opportunistic routing in wireless mesh networks. In multirate anypath routing, each node uses both a set of nex...
Rafael P. Laufer, Henri Dubois-Ferrière, Le...
MOBICOM
2012
ACM
13 years 8 months ago
Faster GPS via the sparse fourier transform
GPS is one of the most widely used wireless systems. A GPS receiver has to lock on the satellite signals to calculate its position. The process of locking on the satellites is qui...
Haitham Hassanieh, Fadel Adib, Dina Katabi, Piotr ...