The unit [translate] aweight of the winning unit is adjusted as well as those of its neighbors. The assumption [translate] a(ANN) which is used for supervised learning, SOM is used for unsupervised learning to [translate] 英语翻译 日语翻译 韩语翻译 德语翻译 法语翻译 俄语翻译 阿拉伯语翻译 ...
In this short note we provide an example of a semi-linear group G G which does not admit a semi-linear affine embedding; in other words, there is no semi-linear isomorphism between topological groups f : G → G ′ M m f:G→G′Mm , such that the group topology on G ′ G′ coin...
aIn ordinary face-to-face conversation, in which there are many eloquent pointers that facilitate understanding, this contract does not find undue obstacles. A gesture or a question is all that is required to show that something is not being understood or is not relevant. 在普通的面对面的交谈...
In this talk we compare the performance of ten supervised learning methods on nine criteria: Accuracy, F-score, Lift, Precision/Recall Break-Even Point, Area under the ROC, Average Precision, Squared Error, Cross-Entropy, and Probability Calibration. The results show that no one learning method...
We present a novel hybrid keyword spotting system that combines supervised and unsupervised competitive learning algorithms. The first stage is a SOFM (sel... C Tadj,F Poirier - IEEE 被引量: 6发表: 1995年研究点推荐 primary processing FDVQ semi-supervised learning ...
A label is an output for a given sample in a machine learning dataset. In a spam detection dataset, the label indicates whether an email is 'spam' or 'not spam'. In computer science, a label is a symbolic identifier for a position in code. ...
A tuple containingfeaturesandclass_name. Usage TheCustomDatasetclass is used to encapsulate and preprocess data from a CSV file for machine learning tasks in PyTorch. Suitable for tasks like supervised learning where data needs to be loaded, preprocessed, and transformed into PyTorch tensors. ...
Which one is wrong about clustering and outliers? A、Clustering belongs to supervised learning. B、Principles of clustering include maximizing intra-class similarity and minimizing interclass similarity. C、Outlier analysis can be useful in fraud detection and rare events analysis. D、Outlier means a ...
a企业口号 Enterprise slogan[translate] aAn artificial neural network (ANN) is a mathematical system, which can model the ability of biological neural network by interconnecting many simple neurons. The back-propagation neural network (BPN) is the most prevalent in supervised learning models of the ...
aMuch later, I finally found some things, how hard you try, still fail to grasp, so I'm learning to not expecting ... 以后,我最后发现有些事,多么您艰苦尝试,寂静的出故障掌握,因此我学会到不期望… [translate] adistinguishes itself from other cities in the world,it is a must-see for ...