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inductive programming造句

例句與造句

  1. Typically, inductive programming techniques can learn from just a few examples.
  2. Depending on the programming language used, there are several kinds of inductive programming.
  3. In many applications the output program must be correct with respect to the examples and partial specification, and this leads to the consideration of inductive programming as a special area inside automatic programming or program synthesis, usually opposed to'deductive'program synthesis, where the specification is usually complete.
  4. In other cases, inductive programming is seen as a more general area where any declarative programming or representation language can be used and we may even have some degree of error in the examples, as in general machine learning, the more specific area of structure mining or the area of symbolic artificial intelligence.
  5. The diversity of inductive programming usually comes from the applications and the languages that are used : apart from logic programming and functional programming, other programming paradigms and representation languages have been used or suggested in inductive programming, such as functional logic programming, constraint programming, probabilistic programming, abductive logic programming, modal logic, action languages, agent languages and many types of imperative languages.
  6. It's difficult to find inductive programming in a sentence. 用inductive programming造句挺難的
  7. The diversity of inductive programming usually comes from the applications and the languages that are used : apart from logic programming and functional programming, other programming paradigms and representation languages have been used or suggested in inductive programming, such as functional logic programming, constraint programming, probabilistic programming, abductive logic programming, modal logic, action languages, agent languages and many types of imperative languages.
  8. Inductive programming incorporates all approaches which are concerned with learning programs or algorithms from incomplete ( constraints for the program to be induced concerning its time efficiency or its complexity, various kinds of background knowledge such as standard data types, predefined functions to be used, program schemes or templates describing the data flow of the intended program, heuristics for guiding the search for a solution or other biases.
  9. 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 support for end users, or support of novice programmers and programming tutor systems.

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