search process / template networks / local search / neural networks / relational dependency networks / structure search / beam search / search methods / systematic search strategies / real-world applications / stochastic local search methods / search steps / greedy search / search process starts / local search algorithms / stochastic local search / candidate solution / computing / State-of-theart structure learning algorithms / candidate solutions / local search procedure / shortest first search / search space / modified candidate solution / /
Organization
MIT / University of Bari / Department of Computer Science / /
Person
Horn Clauses / Marc Sumner / Stanley Kok / Nat / Ellis Horwood / Morgan Kaufmann / Pedro Domingos / V. Della Pietra / S. Della Pietra / V / J. Laferty / A MN (Markov) / Andrew McCallum / /
Position
Statistician / author / Professor / /
Product
CL / /
ProgrammingLanguage
C / /
ProvinceOrState
New Jersey / /
PublishedMedium
IEEE Transactions on Pattern Analysis and Machine Intelligence / Machine Learning / /
Structure Learning of Markov Logic Networks through Iterated Local Search Marenglen Biba and Stefano Ferilli and Floriana Esposito1 Abstract. Many real-world applications of AI require both probability and first-order lo