156 search results - page 1 / 32 » Near-optimal Observation Selection using Submodular Function... |
JMLR
2008
13 years 4 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
12 years 11 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 6 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 6 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 8 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...