例句與造句

1. this method can be used to small scale recognition, like artificial neural networks, but it has stronger generalization ability because the support vector machine theory is based on the minimization principle to structure risk
   該方法與人工神經(jīng)網(wǎng)絡(luò)一樣適用予小規(guī)模分類，但由于支持向量機(jī)依據(jù)結(jié)構(gòu)風(fēng)險(xiǎn)最小化原則，因此泛化能力更強(qiáng)。
2. an novel support vector regression ( svr ) algorithm based on structural risk minimization inductive principle instead of empirical risk minimization principle was firstly introduced in well logs intelligent analysis
   摘要基于核學(xué)習(xí)的支持向量機(jī)，是一種采用結(jié)構(gòu)風(fēng)險(xiǎn)最小化原則代替?zhèn)鹘y(tǒng)經(jīng)驗(yàn)風(fēng)險(xiǎn)最小化原則的新型統(tǒng)計(jì)學(xué)習(xí)方法，具有完備的理論基礎(chǔ)。
3. support vector machine ( svm ) is a new method for pattern recognition based on the statistical learning theory . it is an implementation of structure risk minimization principle in the statistical learning theory
   支持向量機(jī)(svm)是在統(tǒng)計(jì)學(xué)習(xí)理論基礎(chǔ)上發(fā)展起來的一種新的模式識別方法，它是統(tǒng)計(jì)學(xué)習(xí)理論中的結(jié)構(gòu)風(fēng)險(xiǎn)最小化思想在實(shí)際中的一種體現(xiàn)。
4. support vector machine ( svm ) is a machine learning method based on the structural risk minimization principle and vc dimension of statistical learning theory . by using kernel functions, svm eliminates the problem of " curse of dimensionality " in high dimensional space and has better generalization performance than traditional statistical based learning methods
   支持向量機(jī)是基于統(tǒng)計(jì)學(xué)習(xí)理論中結(jié)構(gòu)風(fēng)險(xiǎn)最小化歸納原則和vc維原理的一種機(jī)器學(xué)習(xí)方法，它通過使用核函數(shù)巧妙的解決高維空間的維數(shù)災(zāi)難問題，并且具有比傳統(tǒng)的基于統(tǒng)計(jì)的學(xué)習(xí)方法更好的推廣性能。
5. statistical learning theory derives necessary and sufficient conditions for consistency and fast rate of convergence of the empirical risk minimization principle, which is the basis of most traditional learning algorithms . it also theoretically underpins the support vector algorithms . support vector learning algorithm is based on structural risk minimization principle
   傳統(tǒng)的學(xué)習(xí)算法大多是基于經(jīng)驗(yàn)風(fēng)險(xiǎn)最小化原則的，統(tǒng)計(jì)學(xué)習(xí)理論給出了經(jīng)驗(yàn)風(fēng)險(xiǎn)最小化原則一致和快速收斂的充分和必要條件，并且為支持向量算法做了理論支持。
6. It's difficult to find minimization principle in a sentence. 用minimization principle造句挺難的
7. statistical learning theory derives necessary and sufficient conditions for consistency and fast rate of convergence of the empirical risk minimization principle, which is the basis of most traditional learning algorithms . it also theoretically underpins the support vector algorithms . support vector learning algorithm is based on structural risk minimization principle
   傳統(tǒng)的學(xué)習(xí)算法大多是基于經(jīng)驗(yàn)風(fēng)險(xiǎn)最小化原則的，統(tǒng)計(jì)學(xué)習(xí)理論給出了經(jīng)驗(yàn)風(fēng)險(xiǎn)最小化原則一致和快速收斂的充分和必要條件，并且為支持向量算法做了理論支持。