[HTML][HTML] Super machine learning: improving accuracy and reducing variance of behaviour classification from accelerometry
Background Semi-automating the analyses of accelerometry data makes it possible to
synthesize large data sets. However, when constructing activity budgets from accelerometry …
synthesize large data sets. However, when constructing activity budgets from accelerometry …
Optimized linear imputation
YS Resheff, D Weinshall - arXiv preprint arXiv:1511.05309, 2015 - arxiv.org
Often in real-world datasets, especially in high dimensional data, some feature values are
missing. Since most data analysis and statistical methods do not handle gracefully missing …
missing. Since most data analysis and statistical methods do not handle gracefully missing …
[HTML][HTML] Topic modeling of behavioral modes using sensor data
The field of movement ecology is experiencing a period of rapid growth in availability of
data. As the volume rises, traditional methods are giving way to machine learning and data …
data. As the volume rises, traditional methods are giving way to machine learning and data …
Optimal Linear Imputation with a Convergence Guarantee
YS Resheff, D Weinshall - … , ICPRAM 2017, Porto, Portugal, February 24 …, 2018 - Springer
It is a common occurrence in the field of data science that real-world datasets, especially
when they are high dimensional, contain missing entries. Since most machine learning, data …
when they are high dimensional, contain missing entries. Since most machine learning, data …