Search results
Results From The WOW.Com Content Network
In machine learning, first-order inductive learner (FOIL) is a rule-based learning algorithm. Background
Inductive logic programming has adopted several different learning settings, the most common of which are learning from entailment and learning from interpretations. [16] In both cases, the input is provided in the form of background knowledge B, a logical theory (commonly in the form of clauses used in logic programming), as well as positive and negative examples, denoted + and respectively.
First-order logic also satisfies several metalogical theorems that make it amenable to analysis in proof theory, such as the Löwenheim–Skolem theorem and the compactness theorem. First-order logic is the standard for the formalization of mathematics into axioms, and is studied in the foundations of mathematics.
First-order arithmetic; First-order condition; First-order hold, a mathematical model of the practical reconstruction of sampled signals; First-order inclusion probability; First Order Inductive Learner, a rule-based learning algorithm; First-order reduction, a very weak type of reduction between two computational problems; First-order resolution
The first workshop on Approaches and Applications of Inductive Programming (AAIP) held in conjunction with ICML 2005 identified all applications where "learning of programs or recursive rules are called for, [...] first in the domain of software engineering where structural learning, software assistants and software agents can help to relieve programmers from routine tasks, give programming ...
First-order inductive learner; G. Golem (ILP) P. Progol; T. Theta-subsumption This page was last edited on 31 December 2018, at 21:41 (UTC). Text is available ...
Even later, in the 1990s, statistical relational learning, an approach that combines probability with logical formulas, allowed probability to be combined with first-order logic, e.g., with either Markov Logic Networks or Probabilistic Soft Logic. Other, non-probabilistic extensions to first-order logic to support were also tried.
This was considered a landmark application for inductive logic programming, as a general purpose inductive learner had discovered results that were both novel and meaningful to domain experts. [ 4 ] Progol proved very influential in the field, and the widely-used inductive logic programming system Aleph builds directly on Progol.