supervised learning造句
例句與造句
- Supervised learning of heuristic function for refutation
反演啟發(fā)函數(shù)的監(jiān)督學(xué)習(xí)算法 - The former belongs to supervised learning and the latter belongs to unsupervised learning
它們分屬于有監(jiān)督學(xué)習(xí)與無(wú)監(jiān)督學(xué)習(xí)。 - A semi - supervised learning system was proposed based on art ( adaptive resonance theory )
摘要根據(jù)自適應(yīng)諧振理論提出了半監(jiān)督學(xué)習(xí)自適應(yīng)諧振理論系統(tǒng)。 - Supervised learning with the use of regression and classification networks with sparse data sets will be explored
也將在課程中以帶有稀疏值理論的分類神經(jīng)網(wǎng)絡(luò)與回歸的使用來(lái)探討監(jiān)督式學(xué)習(xí)。 - The distinct difference between supervised learning and unsupervised learning lies in whether the example consists of the pre - processed output value
這兩種方法最大的區(qū)別就在于學(xué)習(xí)樣本是否包含有預(yù)先規(guī)定好的輸出值。 - It's difficult to find supervised learning in a sentence. 用supervised learning造句挺難的
- It also proposes a method of supervised learning to train the decision function and provides the corresponding method of calculation to realize it
提出了一種通過監(jiān)督學(xué)習(xí)來(lái)訓(xùn)練判別函數(shù)的方法，并給出了相應(yīng)的實(shí)現(xiàn)算法。 - Classification is a sort of supervised learning ( i . e . , the learning of the model is " supervised " in that it is told to which class each training sample belongs )
需要指出的是：分類是一種有指導(dǎo)的學(xué)習(xí)（即模型的學(xué)習(xí)在被告知每個(gè)訓(xùn)練樣本屬于哪個(gè)類的“指導(dǎo)”下進(jìn)行） 。 - Experiments show that it can acquire lexical items with high frequency effectively and efficiently without the support of the dictionary and the supervised learning in term of corpus
實(shí)驗(yàn)表明：在無(wú)需詞典支持和利用語(yǔ)料庫(kù)學(xué)習(xí)的前提下，該算法能夠快速、準(zhǔn)確地抽取中文文檔中的中、高頻詞條。 - J . xiao , j . su , g . zhou , and c . tan , “ protein - protein interaction extraction : a supervised learning approach ” , first international symposium on semantic mining in biomedicine ( smbm ) , vol . 148 , 2005
蔣明村， “使用自動(dòng)化樣板建立的蛋白質(zhì)交互作用驗(yàn)證系統(tǒng)” ，國(guó)立成功大學(xué)資訊工程學(xué)系碩士論文，未出版， 2007 。 - Finally , most supervised learning neural networks train themselves through minimizing mean squared error . but when the neural network models trained in this way are used to do forecasting , the existence of outliers result in great imprecision
最后，大多數(shù)監(jiān)督學(xué)習(xí)神經(jīng)網(wǎng)絡(luò)是通過最小化訓(xùn)練集的均方差來(lái)訓(xùn)練網(wǎng)絡(luò)，而野值的存在導(dǎo)致這種訓(xùn)練的神經(jīng)網(wǎng)絡(luò)模型在預(yù)測(cè)時(shí)會(huì)產(chǎn)生極大的不精確性。 - It overcomes the limitation in the assumption in other semi - supervised learning algorithms that probabilistic distribution of data is known , and has the strong ability of learning new patterns and correcting errors because of stability and plasticity of the adaptive resonance theory
在該系統(tǒng)中取消了一般半監(jiān)督學(xué)習(xí)算法中假定已知數(shù)據(jù)概率分布的條件限制，利用自適應(yīng)諧振理論的穩(wěn)定性和可塑性，使其具有非常強(qiáng)的學(xué)習(xí)新模式和糾正錯(cuò)誤能力。
更多例句： 下一頁(yè)