7 papers
A concentration result for multilayer feedforward neural networks
Vera Koponen
We consider for an arbitrary fixed and for each positive integer a multilayer feedforward artificial neural network with layers, neurons in the first layer (the inp…
Random coloured digraphs defined by a Markov logic network
Yasmin Tousinejad, Vera Koponen
A Markov Logic Network (MLN) is a probabilistic relational model used in Statistical Relational Artificial Intelligence for defining a probability distribution on the set of possib…
Notions of rank and independence in countably categorical theories
Vera Koponen
For an -categorical theory and model of we define a hierarchy of ranks, the -ranks for which only care about imaginary elements ``up to level…
Domain size asymptotics for Markov logic networks
Vera Koponen
A Markov logic network (MLN) determines a probability distribution on the set of structures, or ``possible worlds'', with doma…
A convergence law for continuous logic and continuous structures with finite domains
Vera Koponen
We consider continuous relational structures with finite domain and a many valued logic, , with values in the unit interval and which uses continuous…
Random expansions of finite structures with bounded degree
Vera Koponen
We consider finite relational signatures , a sequence of finite base -structures the cardinalities of which tend to infinit…