593 search results - page 32 / 119 » Dealing with different distributions in learning from |
161
click to vote
UAI
2008
15 years 7 months ago
2008
We introduce a new type of graphical model called a `cumulative distribution network' (CDN), which expresses a joint cumulative distribution as a product of local functions. ...
151
click to vote
KDD
2009
ACM
16 years 29 days ago
2009
ACM
There is a growing wealth of data describing networks of various types, including social networks, physical networks such as transportation or communication networks, and biologic...
217
click to vote
AMAI
2008
Springer
15 years 6 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
171
click to vote
CSCW
2002
ACM
15 years 6 months ago
2002
ACM
Conventions are necessary to establish in any recurrent cooperative arrangement. In electronic work, they are important so as to regulate the use of shared objects. Based on empir...
153
click to vote
NIPS
2003
15 years 7 months ago
2003
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...