204 search results - page 34 / 41 » Parameterized Complexity of Cardinality Constrained Optimiza... |
CDC
2010
IEEE
13 years 1 months ago
2010
IEEE
ACT We consider the problem of sensor selection in resource constrained sensor networks. The fusion center selects a subset of k sensors from an available pool of m sensors accordi...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
JMLR
2010
13 years 1 months ago
2010
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
CVPR
2003
IEEE
14 years 8 months ago
2003
IEEE
Inhomogeneous Gibbs model (IGM) [4] is an effective maximum entropy model in characterizing complex highdimensional distributions. However, its training process is so slow that th...
ICML
2007
IEEE
14 years 7 months ago
2007
IEEE
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...