归纳逻辑

归纳逻辑程序设计（InductiveLogicProgramming，简称ILP）是机器学习中的一个较新的研究领域。

Inductive Logic Programming is a new research field in Machine Learning .

从逻辑哲学观点看，作为非经典逻辑的现代归纳逻辑正在向AI领域拓展。

From the standpoint of philosophy of logic , modern inductive logic as a non-classical logic is extending to the field of AI .

通过与PROLOG的类比（它将控制引入计算机逻辑）表明，存在着作为推理+控制的归纳逻辑。

By the analogy to PROLOG , the author shows that there is a kind of inductive logic as inference and control .

归纳逻辑编程（ILP）借助一阶谓词逻辑的强大描述能力，可以自然地表述各种特征，将其整合到一个逻辑框架下，从中学习目标关系。

Inductive logic programming based on first-order logic has great expressivity , with which features can be represented in an integrated framework .

采用遗传算法（GA）作为归纳逻辑程序设计（ILP）的搜索策略，可以提高ILP方法的鲁棒性和适应性。

In order to enhance the robustness and adaptability of inductive logic programming ( ILP ) technique , genetic algorithm ( GA ) is used as the search strategy of ILP .

近年来，借鉴归纳逻辑程序设计（ILP）技术，已经形成许多多关系数据挖掘方法，如关系关联规则挖掘方法、关系分类聚类方法等。

In recently years , using ILP technology for reference , many popular data mining methods have been extended to the multi-relational case , such as relational association rules , relational classification approaches , etc.

论归纳逻辑的局部辩护和适用范围&兼评J.Cohen的归纳概率逻辑理论

The Local Justification and Applicable Region of the Inductive Logic & with a comment on J. Cohen 's theory of inductive probability logic

一类基于归纳逻辑的归纳学习系统

A Kind of Systems of Machine Learning Based on Inductive Logic

δ推理算子的提出，提供了一条新的研究归纳逻辑和概率逻辑的方法。

It shows another approach to study inductive and probabilistic reasoning .

选择策略对遗传归纳逻辑程序设计收敛性能的影响

Convergence Performance of Genetic Inductive Logic Programming Influenced by Selection Strategy

基于归纳逻辑程序设计的学习方法及其实现的研究

Research on inductive logic programming based learning method and its realization

商务智能、归纳逻辑与统计学的关联研究

Cognate Research on Business Intelligence , Inductive Logic and Statistics

浅谈传统归纳逻辑和现代归纳逻辑

A Brief Discussion on the Traditional and Modern Inductive Logic

化学教学中的科学归纳逻辑

The Logic Method of Summing up scientifically in Chemical Teaching

提出了一种新的约束归纳逻辑程序设计方法，并初步实现了一个自顶向下的约束归纳逻辑程序原型系统。

This paper proposes a new approach to constraint inductive logic programming .

遗传归纳逻辑程序设计的个体编码生长现象

Growth Phenomenon of Individuals ' Code Length in Genetic Inductive Logic Programming

美国归纳逻辑与人工智能研究概况。

Survey of studies of inductive logic and AI in U.S.A.

这种方法显然是一种归纳逻辑方法。

This method obviously is a method of inductive logic .

广义细胞自动机与广义归纳逻辑因果模型

Generalized Sell Automaton and Generalized Inductive Logic Causal Model

论古典归纳逻辑的科学认知功能

The Function in Scientific Cognizance of Traditional Inductive Logic

它使归纳逻辑向形式化和数量化的研究方面前进了一大步。

It leaded a great progress of inductive study in formation and quantification .

基于归纳逻辑编程的多槽信息抽取规则自动学习方法

An Automatic Rule Learning Method Based on Inductive Logic Programming for Multi-slot Information Extraction

遗传归纳逻辑程序设计中规则的位串表示法

Bits String Representation of Rules in Design of Inducing Logic Programs by Genetic Algorithm

一个不受常量序限制的归纳逻辑程序设计算法

An ILP Algorithm Without Restriction of Constant Ordering

基于位串编码的遗传归纳逻辑程序设计

Genetic Inductive Logic Programming Based on Bit-string Encoding

归纳逻辑程序设计中的优化问题研究

On optimal problems in inductive logic programming

归纳逻辑的现代发展

Development of Induction Logic in Modem Times

贝叶斯决策理论与归纳逻辑

Bayesian Decision Theory and Inductive Logic

遗传归纳逻辑程序设计技术研究

Genetic Inductive Logic Programming Research

频率解释和性向解释都属于现代归纳逻辑理论中的客观解释。

The frequency interpretation and the propensity interpretation belong to the objective interpretation of modern inductive logic .