Writing patternInter-word intervalKeystroke logs are a valuable tool for writing research. Using large samples of student responses to two prompts targeting different writing purposes, we analyzed the longest 25 inter-word intervals idoi:10.1007/978-3-319-38759-8_23Mo Zhang...
In thesis: The Introductory it Pattern in Academic Writing by Non-native-speaker Students, Native-speaker Students and Published writers: A Corpus-based Study, Uppsala University.Larsson, Tove. 2017. A functional classification of the introductory it pattern: Investigating academic writing by non-...
Let λij indicating the penalty for misclassifying a pattern from class ωi as class ωj. The loss with respect to misclassifying ωi as ωj is obtained by weighting the probability of error by λij. The loss for misclassifying class ωi can be described by (3.46)lossωix=∑jλijpω...
Division:1.studentswhogototheplaygroundwhentheyfeeltiredafterstudy2.realsportsloverswhoevenputasidetheirstudiesforagame3.studentswhowantbeautyfromsportsConcludingsentence:Nomatterwhichgrouptheybelongto,theyallbenefitfromsports.ThePatternofClaasification body topicsentence concludingsentence Classification ...
The paper put forward 7 different angles to approach classification of musical theses and made an investigation on them; 1. the classification according to writing motives; 2. that to research methods; 3. that to study subjects; 4. that to relationship between the investigated questions and music...
The performance of machine learning classification methods relies heavily on the choice of features. In many domains, feature generation can be labor-intensive and require domain knowledge, and feature selection methods do not scale well in high-dimensional datasets. Deep learning has shown success in...
1 ToC.A.RosenandC.W.Stork 2 Preface O urpurposesinwritingthisSecondEdition—morethanaquartercenturyaf- tertheoriginal—remainthesame:togiveasystematicaccountofthemajor topicsinpatternrecognition,basedwheneverpossibleonfundamentalprinciples.We believethatthisprovidestherequiredfoundationforsolvingproblemsinmorespe...
Cross-validation is a strategy for testing ML models that involves training numerous ML models on subsets of the given input data and then evaluating them on the corresponding subset. Cross-validation can be used to detect overfitting, or the failure to generalize a pattern. Performing 30-fold ...
By coarse learning, the large appearance variations of images are captured, while the small differences in region of interests are modeled by finer learning. CRediT authorship contribution statement Ping Li: Conceptualization, Methodology, Writing - original draft. Guopan Zhao: Data curation, Validation...
Komodakis, Dynamic edge-conditioned filters in convolutional neural networks on graphs, in: Conference on Computer Vision and Pattern Recognition, CVPR, 2017, pp. 29–38. Google Scholar [2] M. Brown, S. Süsstrunk, Multi-spectral SIFT for scene category recognition, in: Conference on Computer ...