We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
ing Cryptographic Protocols with Tree Automata David Monniaux http://www.di.ens.fr/%7Fmonniaux, Laboratoire d’Informatique, ´Ecole Normale Sup´erieure, 45 rue d’Ulm , 75230 P...
We define tree automata with global constraints (TAGC), generalizing the well-known class of tree automata with global equality and disequality constraints [14] (TAGED). TAGC can...
In this paper, we provide a study on the use of tree kernels to encode syntactic parsing information in natural language learning. In particular, we propose a new convolution kerne...
—Data trees are trees in which each node, besides carrying a label from a finite alphabet, also carries a data value infinite domain. They have been used as an abstraction mode...