80 search results - page 4 / 16 » Racing for Conditional Independence Inference |
84
Voted
JMLR
2011
14 years 6 months ago
2011
We present a class of graphical models for directly representing the joint cumulative distribution function (CDF) of many random variables, called cumulative distribution networks...
132
click to vote
AAAI
1996
15 years 29 days ago
1996
First-order probabilistic logic is a powerful knowledge representation language. Unfortunately, deductive reasoning based on the standard semantics for this logic does not support...
72
Voted
ICML
2010
IEEE
15 years 21 days ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
90
Voted
BMCBI
2007
14 years 11 months ago
2007
In this review we give an overview of computational and statistical methods to reconstruct cellular networks. Although this area of research is vast and fast developing, we show t...
102
click to vote
SDM
2008
SIAM
15 years 1 months ago
2008
SIAM
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...