59 search results - page 6 / 12 » Very Predictive Ngrams for Space-Limited Probabilistic Model... |
METMBS
2003
13 years 9 months ago
2003
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
CLUSTER
2008
IEEE
14 years 2 months ago
2008
IEEE
—Scientific simulation and modeling often aid in making critical decisions in such diverse fields as city planning, severe weather prediction and influenza modeling. In some o...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Discriminative methods for visual object category recognition are typically non-probabilistic, predicting class labels but not directly providing an estimate of uncertainty. Gauss...
KDD
2002
ACM
14 years 8 months ago
2002
ACM
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
ASUNAM
2011
IEEE
12 years 7 months ago
2011
IEEE
Abstract—Many important real-world systems, modeled naturally as complex networks, have heterogeneous interactions and complicated dependency structures. Link prediction in such ...