Semi-Supervised Discriminative Structured Prediction.

摘要

The proposed research develops cutting-edge machine learning techniques to improve the performance of a wide spectrum of robust and intelligent classification tasks. Structured prediction, one of major challenges in statistical machine learning, is a classification or regression problem with non-iid data where the prediction variables are typically interdependent in complex ways with dependencies encoded in a graphical model to capture the sequential, spatial, relational or recursive structure of output variables. Semi-supervised learning, another example of the four major challenges in statistical machine learning, is a technique which makes use of both unlabeled and labeled data for training.