{"product_id":"de-luc-raedt-probabilistic-inductive-logic-programming-9783540786511","title":"Probabilistic Inductive Logic Programming","description":"Probabilistic Inductive Logic Programming.- Formalisms and Systems.- Relational Sequence Learning.- Learning with Kernels and Logical Representations.- Markov Logic.- New Advances in Logic-Based Probabilistic Modeling by PRISM.- CLP( ): Constraint Logic Programming for Probabilistic Knowledge.- Basic Principles of Learning Bayesian Logic Programs.- The Independent Choice Logic and Beyond.- Applications.- Protein Fold Discovery Using Stochastic Logic Programs.- Probabilistic Logic Learning from Haplotype Data.- Model Revision from Temporal Logic Properties in Computational Systems Biology.- Theory.- A Behavioral Comparison of Some Probabilistic Logic Models.- Model-Theoretic Expressivity Analysis.","brand":"Springer","offers":[{"title":"Default Title","offer_id":54716343976278,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9783540786511_1.jpg?v=1791131957","url":"https:\/\/www.momoxbooks.com\/products\/de-luc-raedt-probabilistic-inductive-logic-programming-9783540786511","provider":"momox","version":"1.0","type":"link"}