inductive adj. 1.引入的,誘導(dǎo)的 (to)。 2.【邏輯學(xué)】歸納的,歸納法的 (opp. deductive)。 3.【電學(xué)】感應(yīng)的,電感的。 4.導(dǎo)論的,緒論的。 inductive reasoning 歸納推理。 an inductive method 歸納法。 an inductive coil 有感線圈,電感線圈。 the inductive capacity 電感容量,電容。 inductive coupling 電感耦合。 the inductive reactance 【電學(xué)】感抗。 adv. -ly ,-ness n.
learning n. 學(xué),學(xué)習(xí);學(xué)問,學(xué)識(shí);專門知識(shí)。 good at learning 善于學(xué)習(xí)。 a man of learning 學(xué)者。 New learning 新學(xué)問,新科學(xué)〔尤指十六世紀(jì)在英國傳播的宗教改革學(xué)說及用希伯來文及希臘文對于《圣經(jīng)》的考證研究〕。
The inductive learning of operation semantics of words structure based on referring 基于參照的對詞結(jié)構(gòu)操作語義的歸納學(xué)習(xí)
With inductive learning arithmetic lactated and identified the information blocks that we want 并通過歸納學(xué)習(xí)算法,尋找和識(shí)別出感興趣的數(shù)據(jù)。
In chapter 3 , inductive learning generalization is improved by using statistical learning theory 第三章:用統(tǒng)計(jì)學(xué)習(xí)理論改善歸納學(xué)習(xí)的泛化能力。
You should use inductive learning particularly to understand systems that continue to puzzle you 對一些多次給你帶來困惑的疑難問題,你更應(yīng)嘗試用這種方式來了解其規(guī)律。
Induction learning of decision tree based on id3 algorithm is an important branch of inductive learning now , which can be used to automatic acquisition of knowledge 基于id3算法的決策樹歸納學(xué)習(xí)是歸納學(xué)習(xí)的一個(gè)重要分支,可用于知識(shí)的自動(dòng)獲取過程。
Symbol inductive learning theory also has application in intrusion detection and its fundamental idea is considering intrusion detection as the problem of knowledge representation and rule extraction 在把基于符號(hào)的歸納學(xué)習(xí)理論應(yīng)用于入侵檢測方面,基本思想是把入侵檢測視為一個(gè)知識(shí)表達(dá)和規(guī)則提取問題。
Based on dom and inductive learning , the paper also present a novel approach to semi - automatically generate java classes which can be dominant part of a wrapper for web sources 以dom和歸納學(xué)習(xí)技術(shù)為基礎(chǔ),設(shè)計(jì)了一種聲明型的表示方式來表達(dá)抽取規(guī)則。并根據(jù)抽取規(guī)則自動(dòng)生成數(shù)據(jù)密集型web數(shù)據(jù)源包裝器的構(gòu)件。
( 2 ) generalization and adaptation of inductive learning is improved by using svm . the model which is generated by using data mining method can adapted the changes of network situation , and it can detect new intrusion behavior ( 2 )通過使用統(tǒng)計(jì)學(xué)習(xí)的svm算法改進(jìn)歸納學(xué)習(xí)的泛化自適應(yīng)能力,使數(shù)據(jù)挖掘生成的檢測模型能夠適應(yīng)網(wǎng)絡(luò)的變化,能檢測出新的人侵行為。
The main ideal is to divide the decision system into several subsystems based on the decision classes and construct the new decision matrix , and then to transform the inductive learning for the decision system into the incremental learning based on the new decision matrix 其主要思想是基于決策類將決策系統(tǒng)分割為多個(gè)子系統(tǒng),并構(gòu)造其新的決策矩陣,然后將決策系統(tǒng)上的歸納學(xué)習(xí)轉(zhuǎn)化為新決策矩陣下的遞增式學(xué)習(xí)。
This article is composed of three parts , data collection , data filtering and machine learning . these three parts were assembled organically and enhanced the intelligence as far as it can at every point to improve on the traditionary word segmentation algorithm and inductive learnings 三個(gè)子系統(tǒng)通過知識(shí)庫有機(jī)的結(jié)合在一起,并盡可能地在系統(tǒng)的各個(gè)環(huán)節(jié)利用agent的思想提高智能化,并對傳統(tǒng)的分詞算法,歸納學(xué)習(xí)算法做了融合和改進(jìn)。