757 search results - page 111 / 152 » Monte Carlo Model Checking |
121
Voted
IDA
2009
Springer
15 years 9 months ago
2009
Springer
Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
132
Voted
GLOBECOM
2007
IEEE
15 years 9 months ago
2007
IEEE
— In this paper, we propose a new framework for the study of cellular networks called the fluid model and we derive from this model analytical formulas for interference, outage ...
116
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KDD
2004
ACM
15 years 8 months ago
2004
ACM
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
116
Voted
ICDM
2002
IEEE
15 years 7 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
144
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...