403 search results - page 57 / 81 » Bayesian cluster ensembles |
AUSAI
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
CORR
2002
Springer
13 years 8 months ago
2002
Springer
Global mobile robot localization is the problem of determining a robot's pose in an environment, using sensor data, when the starting position is unknown. A family of probabi...
UAI
2000
13 years 10 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
AAAI
2004
13 years 10 months ago
2004
We present a probabilistic method for path planning that considers trajectories constrained by both the environment and an ensemble of restrictions or preferences on preferred mot...
TSP
2010
13 years 3 months ago
2010
This paper proposes a linear transmitter design that aims at minimizing the packet error rate (PER) using partial channel state information at the transmitter (CSIT). The design is...