Target-Focused Feature Selection Using a Bayesian Approach

no code implementations • 15 Sep 2019 • Orpaz Goldstein, Mohammad Kachuee, Kimmo Karkkainen, Majid Sarrafzadeh

In many real-world scenarios where data is high dimensional, test time acquisition of features is a non-trivial task due to costs associated with feature acquisition and evaluating feature value.

feature selection

Generative Imputation and Stochastic Prediction

2 code implementations • 22 May 2019 • Mohammad Kachuee, Kimmo Karkkainen, Orpaz Goldstein, Sajad Darabi, Majid Sarrafzadeh

In order to make imputations, we train a simple and effective generator network to generate imputations that a discriminator network is tasked to distinguish.

Classification General Classification +2

Cost-Sensitive Diagnosis and Learning Leveraging Public Health Data

2 code implementations • 19 Feb 2019 • Mohammad Kachuee, Kimmo Karkkainen, Orpaz Goldstein, Davina Zamanzadeh, Majid Sarrafzadeh

Furthermore, based on the suggested dataset, we provide a comparison of recent and state-of-the-art approaches to cost-sensitive feature acquisition and learning.

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams

1 code implementation • ICLR 2019 • Mohammad Kachuee, Orpaz Goldstein, Kimmo Karkkainen, Sajad Darabi, Majid Sarrafzadeh

The suggested method acquires features incrementally based on a context-aware feature-value function.

Learning-To-Rank