We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
acement of Crime (extended abstract) Tibor Bosse and Charlotte Gerritsen and Mark Hoogendoorn and S. Waqar Jaffry and Jan Treur1 Within Criminology, the process of crime displaceme...
Tibor Bosse, Charlotte Gerritsen, Mark Hoogendoorn...
The results of the last MaxSAT Evaluations suggest there is no universal best algorithm for solving MaxSAT, as the fastest solver often depends on the type of instance. Having an ...
Paulo J. Matos, Jordi Planes, Florian Letombe, Jo&...
Recently, a new iterative optimization framework utilizing an evolutionary algorithm called "Prototype Optimization with Evolved iMprovement Steps" (POEMS) was introduced...
Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user fe...