Sciweavers

Share
42 search results - page 2 / 9
» Modeling the structure and evolution of discussion cascades
Sort
View
IJCNLP
2004
Springer
12 years 11 months ago
Tagging Complex NEs with MaxEnt Models: Layered Structures Versus Extended Tagset
The paper discusses two policies for recognizing NEs with complex structures by maximum entropy models. One policy is to develop cascaded MaxEnt models at diļ¬€erent levels. The ot...
Deyi Xiong, Hongkui Yu, Qun Liu
PPSN
2004
Springer
12 years 11 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
ITSSA
2006
97views more  ITSSA 2006»
12 years 5 months ago
Service Evolution in Bio-Inspired Communication Systems
: An autonomic network must work unsupervised, therefore must be able to respond to unpredictable situations. The BIONETS project is working towards resilient network services that...
Daniele Miorandi, Lidia Yamamoto, Paolo Dini
BMCBI
2004
126views more  BMCBI 2004»
12 years 5 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
IJCNN
2000
IEEE
12 years 10 months ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
books