AUC-Maximized Deep Convolutional Neural Fields for Protein Sequence Labeling

Abstract

Deep Convolutional Neural Networks (DCNN) has shown excellent performance in a variety of machine learning tasks. This paper presents Deep Convolutional Neural Fields (DeepCNF), an integration of DCNN with Conditional Random Field (CRF), for sequence labeling with an imbalanced label distribution. The widely-used training methods, such as maximum-likelihood… (More)
DOI: 10.1007/978-3-319-46227-1_1

Topics

  • Presentations referencing similar topics