learning machines造句
例句與造句
- we should adopt different parameter to get the optimal learning machine
訓(xùn)練中需要采用不同的參數(shù)，以求得最佳學(xué)習(xí)機(jī)。 - go on listening, reading, recording and study the materials in learning machines
此環(huán)節(jié)是使學(xué)生進(jìn)一步養(yǎng)成利用學(xué)習(xí)機(jī)自主學(xué)習(xí)的習(xí)慣，使學(xué)生的英語水平得到提高。 - the support vector machine ( svm ) is a novel type of learning machine which has some remarkable characteristics such as good generalization performance, the absence of local minima and fast computing speed
摘要支持向量機(jī)(svm)是一種新穎的機(jī)器學(xué)習(xí)方法，具有泛化能力強(qiáng)、全局最優(yōu)和計(jì)算速度快等突出優(yōu)點(diǎn)。 - (4 ) support vector machine ( svm ) is a novel powerful learning machine, which can solve small-sample learning problem better . the basic ideas of statistical learning theory ( slt ) and svm are introduced, and the characteristics of svm are illuminated
本文參考前人的工作，對統(tǒng)計(jì)學(xué)習(xí)理論和支持向量機(jī)的相關(guān)知識進(jìn)行了介紹，分析了svm模型的特點(diǎn)，并對選用不同的模型和參數(shù)對支持向量機(jī)模型的影響進(jìn)行了探討。 - aiming at the relativity between repeated or similar samples and characteristic parameters during diagnosis of characteristic data, an effective data analysis approach for characteristic data compression from bi-direction is presented, which can reduce the burden of learning machine without losing the connotative characteristic knowledge of characteristic data
摘要對診斷特徵數(shù)據(jù)中重復(fù)或相似事例樣本和特徵參量之間可能針存在的相關(guān)性，提出一種有效的特徵數(shù)據(jù)雙向壓縮預(yù)處理方法，該法在不損失數(shù)據(jù)隱含的特徵知識的前提下，能有效降低學(xué)習(xí)機(jī)器的學(xué)習(xí)負(fù)擔(dān)。 - It's difficult to find learning machines in a sentence. 用learning machines造句挺難的
- basing on it we bring forward the disambiguation strategy using rule techniques and statistics techniques . in rule model, the acqusition method of rules base is improved . we use the part-of-speech of syntactic category to replace the syntactic category . in addition, statistics method is used to help to construct the rule base . in statistics model, the concept of learning machine-made is presented . in according to the result of learning, the method of calculating transition probabilities and symbol probabilities are amended
在規(guī)則方法中，改進(jìn)了規(guī)則庫的構(gòu)建方法，用兼類詞詞性代替兼類詞本身，并嘗試使用統(tǒng)計(jì)輔助構(gòu)建規(guī)則庫；在統(tǒng)計(jì)方法中，在二元語法模型基礎(chǔ)上引入了學(xué)習(xí)機(jī)制的概念，根據(jù)學(xué)習(xí)結(jié)果對詞性概率和詞匯概率的獲取方法進(jìn)行了修正。 - since the early nineties last century, machine learning techniques such as artificial neural networks ( ann ) have been attempted in flood forecast areas, such as rainfall-runoff modeling and stream flow forecasting, with some valuable experiences achieved . this paper presents several precise, reliable and practical flood forecast models based on some new style learning machines . their performances were valued in case studies
本文結(jié)合機(jī)器學(xué)習(xí)技術(shù)，從尋找易用的、準(zhǔn)確的、可靠的、實(shí)用性強(qiáng)的洪水預(yù)報方法的角度出發(fā)，建立了多種基于新型的學(xué)習(xí)機(jī)器的洪水預(yù)報模型，并通過這些模型在實(shí)例中的表現(xiàn)，對它們的性能進(jìn)行了評價，提出了幾種基于學(xué)習(xí)機(jī)器的洪水預(yù)報解決方案。 - and the support vector machine ( svm ) is a new kind of learning machine, which is based on the statistical learning theory . its complete theory and excellent performance make a potential future for mine intelligence . the aim of this thesis is to realize 3-class underwater targets " recognition by means of data mining technique
其中的支持向量機(jī)技術(shù)是在統(tǒng)計(jì)學(xué)習(xí)理論框架下提出的一種新的學(xué)習(xí)機(jī)器，其完備的理論基礎(chǔ)和優(yōu)良的推廣性能，為水雷兵器引信技術(shù)的智能化指引了一個很有發(fā)展?jié)摿Φ姆较颉?/li> - this article criticizes the theoretic basis of mechanism in perspective of student in comenius " " on the clock ", criticize the idea regarding students as learning machines, interrogates locke's idea that " the mind is like a piece of white paper, there no marks and ideas on it " deconstruct the absolute hegemony education to the students " development and teachers to students, criticizes kant's absolute ration and human nature's permanence, generalization, criticizes kant's idea that human is existing of rational animal, criticizes kant's educational claim that children absolute subject to ration, and criticizes herbart's theory that teachers is the center which is influenced by kant
在文章中，批判了夸美紐斯“時鐘論”學(xué)生觀的理論基礎(chǔ)??機(jī)械論，批判了把學(xué)生看作“學(xué)習(xí)的機(jī)器”的觀點(diǎn)；對洛克的兒童心靈猶如“一張白紙，上面沒有任何記號，沒有任何觀念”的觀點(diǎn)進(jìn)行了質(zhì)疑，解構(gòu)了教育對學(xué)生成長、教師對學(xué)生教育的絕對霸權(quán)；批判了康德的絕對理性以及人性的永恒性、普遍性，批判了康德的“人是理性動物的存在”的觀點(diǎn)，批判了康德“兒童絕對服從理性”的教育主張，并進(jìn)一步批判了受康德影響的赫爾巴特的“教師中心論”。 - support vector machine is a kind of new general learning machine based on statistical learning theory . in order to solve a complicated classification task, it mapped the vectors from input space to feature space in which a linear separating hyperplane is structured . the margin is the distance between the hyperplane and a hyperplane through the closest points
支持向量機(jī)是在統(tǒng)計(jì)學(xué)習(xí)理論基礎(chǔ)上發(fā)展起來的一種通用學(xué)習(xí)機(jī)器，其關(guān)鍵的思想是利用核函數(shù)把一個復(fù)雜的分類任務(wù)通過核函數(shù)映射使之轉(zhuǎn)化成一個在高維特征空間中構(gòu)造線性分類超平面的問題。