Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state ...

MIT researchers found that different algorithms can all be grouped into ... dimensionality reduction, and supervised classification are all cases of the same underlying loss function,” she ...

For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state ...