Search Results for author: Brian Caffo

Found 10 papers, 3 papers with code

Evidential Uncertainty Quantification: A Variance-Based Perspective

1 code implementation19 Nov 2023 Ruxiao Duan, Brian Caffo, Harrison X. Bai, Haris I. Sair, Craig Jones

Uncertainty quantification of deep neural networks has become an active field of research and plays a crucial role in various downstream tasks such as active learning.

Active Learning Classification +2

The Multiple Subnetwork Hypothesis: Enabling Multidomain Learning by Isolating Task-Specific Subnetworks in Feedforward Neural Networks

1 code implementation18 Jul 2022 Jacob Renn, Ian Sotnek, Benjamin Harvey, Brian Caffo

Neural networks have seen an explosion of usage and research in the past decade, particularly within the domains of computer vision and natural language processing.


MONEYBaRL: Exploiting pitcher decision-making using Reinforcement Learning

no code implementations31 Jul 2014 Gagan Sidhu, Brian Caffo

This manuscript uses machine learning techniques to exploit baseball pitchers' decision making, so-called "Baseball IQ," by modeling the at-bat information, pitch selection and counts, as a Markov Decision Process (MDP).

BIG-bench Machine Learning Decision Making +2

Fast, Exact Bootstrap Principal Component Analysis for p>1 million

no code implementations5 May 2014 Aaron Fisher, Brian Caffo, Brian Schwartz, Vadim Zipunnikov

As a result, all bootstrap principal components are limited to the same $n$-dimensional subspace and can be efficiently represented by their low dimensional coordinates in that subspace.

Methodology Applications Computation

Joint Estimation of Multiple Graphical Models from High Dimensional Time Series

no code implementations1 Nov 2013 Huitong Qiu, Fang Han, Han Liu, Brian Caffo

In this manuscript we consider the problem of jointly estimating multiple graphical models in high dimensions.

Time Series Time Series Analysis +1

Cannot find the paper you are looking for? You can Submit a new open access paper.