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  2. Inductive logic programming - Wikipedia

    en.wikipedia.org/wiki/Inductive_logic_programming

    Inductive logic programming (ILP) is a subfield of symbolic artificial intelligence which uses logic programming as a uniform representation for examples, background knowledge and hypotheses. The term " inductive " here refers to philosophical (i.e. suggesting a theory to explain observed facts) rather than mathematical (i.e. proving a property ...

  3. Aleph (ILP) - Wikipedia

    en.wikipedia.org/wiki/Aleph_(ILP)

    The input to Aleph is background knowledge, specified as a logic program, a language bias in the form of mode declarations, as well as positive and negative examples specified as ground facts. [2] As output it returns a logic program which, together with the background knowledge, entails all of the positive examples and none of the negative ...

  4. Golem (ILP) - Wikipedia

    en.wikipedia.org/wiki/Golem_(ILP)

    Golem is an inductive logic programming algorithm developed by Stephen Muggleton and Cao Feng in 1990. [1] It uses the technique of relative least general generalisation proposed by Gordon Plotkin, leading to a bottom-up search through the subsumption lattice. [2]

  5. Logic programming - Wikipedia

    en.wikipedia.org/wiki/Logic_programming

    Inductive logic programming (ILP) is an approach to machine learning that induces logic programs as hypothetical generalisations of positive and negative examples. Given a logic program representing background knowledge and positive examples together with constraints representing negative examples, an ILP system induces a logic program that ...

  6. Integer programming - Wikipedia

    en.wikipedia.org/wiki/Integer_programming

    An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. In many settings the term refers to integer linear programming (ILP), in which the objective function and the constraints (other than the integer constraints) are linear .

  7. Progol - Wikipedia

    en.wikipedia.org/wiki/Progol

    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. [5]

  8. Category:Inductive logic programming - Wikipedia

    en.wikipedia.org/wiki/Category:Inductive_logic...

    Pages in category "Inductive logic programming" The following 7 pages are in this category, out of 7 total. ... Golem (ILP) P. Progol; T. Theta-subsumption

  9. Very long instruction word - Wikipedia

    en.wikipedia.org/wiki/Very_long_instruction_word

    Very long instruction word (VLIW) refers to instruction set architectures that are designed to exploit instruction-level parallelism (ILP). A VLIW processor allows programs to explicitly specify instructions to execute in parallel, whereas conventional central processing units (CPUs) mostly allow programs to specify instructions to execute in sequence only.