30 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.CL2021
Open Aspect Target Sentiment Classification with Natural Language Prompts
Ronald Seoh, Ian Birle, Mrinal Tak +3
For many business applications, we often seek to analyze sentiments associated with any arbitrary aspects of commercial products, despite having a very limited amount of labels or…
stat.ML2020
Solving Bayesian Network Structure Learning Problem with Integer Linear Programming
Ronald Seoh
This dissertation investigates integer linear programming (ILP) formulation of Bayesian Network structure learning problem. We review the definition and key properties of Bayesian…
stat.ML2020★ 30 cited
Qualitative Analysis of Monte Carlo Dropout
Ronald Seoh
In this report, we present qualitative analysis of Monte Carlo (MC) dropout method for measuring model uncertainty in neural network (NN) models. We first consider the sources of u…