Now showing items 1-4 of 4

    • Latent protein trees 

      Henao, R; Thompson, JW; Moseley, MA; Ginsburg, GS; Carin, L; Lucas, JE (Annals of Applied Statistics, 2013-06-01)
      Unbiased, label-free proteomics is becoming a powerful technique for measuring protein expression in almost any biological sample. The output of these measurements after preprocessing is a collection of features and their ...
    • Learning a hybrid architecture for sequence regression and annotation 

      Zhang, Y; Henao, R; Carin, L; Zhong, J; Hartemink, AJ (30th AAAI Conference on Artificial Intelligence, AAAI 2016, 2016-01-01)
      © Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.When learning a hidden Markov model (HMM), sequential observations can often be complemented by real-valued ...
    • NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. 

      Shen, D; Su, Q; Chapfuwa, P; Wang, W; Wang, G; Carin, L; Henao, R (CoRR, 2018)
    • Non-Gaussian discriminative factor models via the max-margin rank-likelihood 

      Yuan, X; Henao, R; Tsalik, EL; Langley, RJ; Carin, L (32nd International Conference on Machine Learning, ICML 2015, 2015-01-01)
      Copyright © 2015 by the author(s).We consider the problem of discriminative factor analysis for data that are in general non-Gaussian. A Bayesian model based on the ranks of the data is proposed. We first introduce a new ...