Reward Shaping for Human Learning via Inverse Reinforcement Learning

1 code implementation • 25 Feb 2020 • Mark A. Rucker, Layne T. Watson, Matthew S. Gerber, Laura E. Barnes

The goal of this aid is to increase the speed with which humans can learn good policies for specific tasks.

reinforcement-learning Reinforcement Learning (RL)

Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data

no code implementations • 31 Jan 2018 • Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes

Negative affect is a proxy for mental health in adults.

HDLTex: Hierarchical Deep Learning for Text Classification

3 code implementations • 24 Sep 2017 • Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes

This is because along with this growth in the number of documents has come an increase in the number of categories.

Document Classification General Classification +2

Model Adaptation for Personalized Opinion Analysis

no code implementations • IJCNLP 2015 • Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber

Sentiment Analysis Transfer Learning