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PKDD
2007
Springer
102views Data Mining» more  PKDD 2007»
14 years 1 months ago
Towards Data Mining Without Information on Knowledge Structure
Most knowledge discovery processes are biased since some part of the knowledge structure must be given before extraction. We propose a framework that avoids this bias by supporting...
Alexandre Vautier, Marie-Odile Cordier, Rene Quini...
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 3 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
SIGECOM
2006
ACM
139views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Playing games in many possible worlds
In traditional game theory, players are typically endowed with exogenously given knowledge of the structure of the game—either full omniscient knowledge or partial but fixed in...
Matt Lepinski, David Liben-Nowell, Seth Gilbert, A...
WD
2010
13 years 5 months ago
Centrality-based routing for Wireless Sensor Networks
The use of topological features, more specifically, the importance of an element related to its structural position is a subject widely studied. For instance, complex networks theo...
Eduardo M. R. Oliveira, Heitor S. Ramos, Antonio A...
CORR
2008
Springer
113views Education» more  CORR 2008»
13 years 7 months ago
Gaussian Belief Propagation Solver for Systems of Linear Equations
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we ...
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny B...