Alchemy: Open Source AI. Welcome to the Alchemy system! Alchemy is a software package providing a series of algorithms for statistical relational learning and probabilistic logic inference, based on the Markov logic representation. Alchemy allows you to easily develop a wide range of AI applications, including: Collective classification; Link prediction; Entity resolution; Social network modeling; Information extraction.

References in zbMATH (referenced in 11 articles )

Showing results 1 to 11 of 11.
Sorted by year (citations)

  1. Ibrahim, Mohamed-Hamza; Pal, Christopher; Pesant, Gilles: Leveraging cluster backbones for improving MAP inference in statistical relational models (2020)
  2. Núñez, Rafael C.; Murthi, Manohar N.; Premaratne, Kamal; Scheutz, Matthias; Bueno, Otávio: Uncertain logic processing: logic-based inference and reasoning using Dempster-Shafer models (2018)
  3. Ibrahim, Mohamed-Hamza; Pal, Christopher; Pesant, Gilles: Improving probabilistic inference in graphical models with determinism and cycles (2017)
  4. Domingos, Pedro; Lowd, Daniel; Kok, Stanley; Nath, Aniruddh; Poon, Hoifung; Richardson, Matthew; Singla, Parag: Unifying logical and statistical AI (2016)
  5. Schulte, Oliver; Qian, Zhensong; Kirkpatrick, Arthur E.; Yin, Xiaoqian; Sun, Yan: Fast learning of relational dependency networks (2016)
  6. Van Haaren, Jan; Van den Broeck, Guy; Meert, Wannes; Davis, Jesse: Lifted generative learning of Markov logic networks (2016)
  7. Khot, Tushar; Natarajan, Sriraam; Kersting, Kristian; Shavlik, Jude: Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases (2015)
  8. Mangal, Ravi; Zhang, Xin; Nori, Aditya V.; Naik, Mayur: Volt: a lazy grounding framework for solving very large maxsat instances (2015)
  9. Skarlatidis, Anastasios; Paliouras, Georgios; Artikis, Alexander; Vouros, George A.: Probabilistic event calculus for event recognition (2015)
  10. Finthammer, Marc; Thimm, Matthias: An integrated development environment for probabilistic relational reasoning (2012)
  11. Domingos, Pedro: Toward knowledge-rich data mining (2007) ioport

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