Search Results for author:
Found 3 papers, 0 papers with code
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
To overcome this dilemma, we take a different perspective and investigate a new approach to handle inaccuracy and uncertainty in the training data labels, which are inevitable in many applications where labels are conceptual and labeling is performed by human annotators.
SummerTime: Variable-length Time SeriesSummarization with Applications to PhysicalActivity Analysis
Summarization conducted by the \textit{SummerTime} method will be a fixed-length feature vector which can be used in-place of the time series dataset for use with classical machine learning methods.
Bag-of-Words Method Applied to Accelerometer Measurements for the Purpose of Classification and Energy Estimation
For this, our approach utilizes a mathematical model originating in natural language processing, the bag-of-words model, that has in the past years been appearing in diverse disciplines outside of the natural language processing field such as image processing.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
