A Method to Learn Embedding of a Probabilistic Medical Knowledge Graph: Algorithm Development

no code implementations • 2 Sep 2019 • Linfeng Li, Peng Wang, Yao Wang, Jinpeng Jiang, Buzhou Tang, Jun Yan, Sheng-Hui Wang, Yu-Ting Liu

This paper proposes an algorithm named as PrTransH to learn embedding vectors from real world EMR data based medical knowledge.

Knowledge Graphs Link Prediction +1

Adaptive Subspace Sampling for Class Imbalance Processing-Some clarifications, algorithm, and further investigation including applications to Brain Computer Interface

no code implementations • 26 May 2019 • Chin-Teng Lin, Kuan-Chih Huang, Yu-Ting Liu, Yang-Yin Lin, Tsung-Yu Hsieh, Nikhil R. Pal, Shang-Lin Wu, Chieh-Ning Fang, Zehong Cao

This investigation extends that study, clarifies some issues related to our earlier work, provides the algorithm for generation of the oversamples, applies the method on several benchmark data sets, and makes application to three Brain Computer Interface (BCI) applications.

Classification EEG +2

Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting

no code implementations • NeurIPS 2017 • Yue Wang, Wei Chen, Yu-Ting Liu, Zhi-Ming Ma, Tie-Yan Liu

(2) The convergence rate is determined by the step size, with the mixing time of the Markov process as the coefficient.

reinforcement-learning Reinforcement Learning (RL)