156 search results - page 2 / 32 » Near-optimal Observation Selection using Submodular Function... |
CORR
2011
Springer
12 years 11 months ago
2011
Springer
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
NIPS
2007
13 years 6 months ago
2007
In many applications, one has to actively select among a set of expensive observations before making an informed decision. Often, we want to select observations which perform well...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
We develop an efficient learning framework to construct signal dictionaries for sparse representation by selecting the dictionary columns from multiple candidate bases. By sparse,...
JMLR
2012
11 years 7 months ago
2012
Bisubmodularity extends the concept of submodularity to set functions with two arguments. We show how bisubmodular maximization leads to richer value-of-information problems, usin...