156 search results - page 1 / 32 » Near-optimal Observation Selection using Submodular Function... |
JMLR
2008
13 years 7 months ago
2008
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
JMLR
2010
13 years 2 months ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
AAAI
2007
13 years 10 months ago
2007
AI problems such as autonomous robotic exploration, automatic diagnosis and activity recognition have in common the need for choosing among a set of informative but possibly expen...
JMLR
2012
11 years 10 months ago
2012
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
EUROPAR
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. In this paper we propose an energy-efficient broadcast algorithm for wireless networks for the case where the transmission powers of the nodes are fixed. Our algorithm is...