Labelled and unlabelled dataSmart environmentsIn the past decades, activity recognition had aroused great interest for the community of context-awareness computing and human behaviours monitoring. However, most of the previous works focus on supervised methods in which the data labelling is known to be...
To this end, we propose an activity recognition model with labelled and unlabelled data in smart environments. With small amount of labelled data, we discover activity patterns from unlabelled data based on proposed similarity measurement algorithm. Our system does not require large amount of data ...
论文关键词:Data mining,Machine learning,Activity recognition,Similarity measurement,Labelled and unlabelled data,Smart environments论文评审过程:Available online 11 April 2015.论文官网地址:https://doi.org/10.1016/j.eswa.2015.04.005 原文链接 谷歌学术 必应学术 百度学术 ...
}//Set the dimensionality of the input datathis->K = K;this->numFeatures = trainingData.getNumDimensions();this->numClasses = trainingData.getNumClasses();//TODO:In the future need to build a kdtree from the training data to allow better realtime predictionthis->trainingData = trainingDa...
Moreover, to exploit unlabelled source domain data—which tends to be much more plentiful than labelled data—we adopt a semi-supervised approach. We propose Velodrome, a semi-supervised method of out-of-distribution generalization that takes labelled and unlabelled data from different resources as ...
The unlabelled data are iteratively pre-proce... A Verikas,A Gelzinis,K Malmqvist - International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems: Multiple Approaches to Intelligent Systems 被引量: 7发表: 1999年 Label-Free and Real-Time Photonic ...
...其他的比如还有Semi-supervised Learning(半监督学习) Semi-supervised Learning(半监督学习) 比如图像识别一些猫和狗,Labelled data 就是训练集中每个图片知道它对应的是什么类型...比如有 Labelled data ,但我们还有一些labelled 或者 unlabelled 数据,这些数据和 Labelled data 中识别猫和狗都没有关系,但它也是...
Combining labelled and unlabelled data: a case study on fisher kernels and transductive inference for biological entity recognition We address the problem of using partially labelled data, eg large collection were only few data is annotated, for extracting entities. Our approach relies on a combination...
Combinatorial Species and Tree-like Structures: Foreword The combinatorial theory of species, introduced by Joyal in 1980, provides a unified understanding of the use of generating functions for both labelled and unlabelled structures and as a tool for the specification and analysis of these s... ...
# unlabelled data dummies <- data.frame( dummy1 = sample(1:3, 40, replace = TRUE), dummy2 = sample(1:3, 40, replace = TRUE), dummy3 = sample(1:3, 40, replace = TRUE) ) # set labels for all variables in the data frame ...