704 search results - page 23 / 141 » Exploiting Data Missingness in Bayesian Network Modeling |
IJAR
2006
14 years 11 months ago
2006
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
CVPR
1999
IEEE
16 years 29 days ago
1999
IEEE
The development of user interfaces based on vision and speech requires the solution of a challenging statistical inference problem: The intentions and actions of multiple individu...
KBSE
2005
IEEE
15 years 4 months ago
2005
IEEE
Recent work in applying causal modeling (Bayesian networks) to software engineering has resulted in improved decision support systems for software project managers. Once the causa...
108
click to vote
PR
2011
14 years 6 months ago
2011
The Student’s-t hidden Markov model (SHMM) has been recently proposed as a robust to outliers form of conventional continuous density hidden Markov models, trained by means of t...
104
click to vote
KDD
2010
ACM
15 years 2 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...