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ICML
2005
IEEE
14 years 8 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
ILP
2005
Springer
14 years 1 months ago
Machine Learning for Systems Biology
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
Stephen Muggleton
AI50
2006
13 years 11 months ago
Philosophical Foundations of AI
Artificial Intelligence was born in 1956 as the off-spring of the newly-created cognitivist paradigm of cognition. As such, it inherited a strong philosophical legacy of functional...
David Vernon, Dermot Furlong
FLAIRS
2007
13 years 10 months ago
Indexing Documents by Discourse and Semantic Contents from Automatic Annotations of Texts
The basic aim of the model proposed here is to automatically build semantic metatext structure for texts that would allow us to search and extract discourse and semantic informati...
Brahim Djioua, Jean-Pierre Desclés
ATAL
2010
Springer
13 years 7 months ago
Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge
One of the most challenging aspects of reasoning, planning, and acting in a multi-agent domain is reasoning about what the agents know about the knowledge of their fellows, and to...
Chitta Baral, Gregory Gelfond, Tran Cao Son, Enric...