79 search results - page 12 / 16 » Imprecise probability models for inference in exponential fa... |
AAAI
2008
13 years 10 months ago
2008
Markov logic networks (MLNs) combine first-order logic and Markov networks, allowing us to handle the complexity and uncertainty of real-world problems in a single consistent fram...
IDA
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. This paper introduces Higher-Order Bayesian Networks, a probabilistic reasoning formalism which combines the efficient reasoning mechanisms of Bayesian Networks with the...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
This paper addresses recognition of human activities with stochastic structure, characterized by variable spacetime arrangements of primitive actions, and conducted by a variable ...
IJAR
2008
13 years 7 months ago
2008
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...