Daniel Francis Schmidt

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 1

Top Topics

Linear Regression Models

Minimum Message Length

Top Venues

IEEE Trans. Signal Process.

Publications

Enes Makalic, Daniel Francis Schmidt
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring. Entropy 23 (11) (2021)
Daniel Francis Schmidt, Enes Makalic
The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio. IEEE Trans. Signal Process. 60 (3) (2012)
Daniel Francis Schmidt, Enes Makalic
Estimating the Order of an Autoregressive Model Using Normalized Maximum Likelihood. IEEE Trans. Signal Process. 59 (2) (2011)
Enes Makalic, Daniel Francis Schmidt
A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems. Australasian Conference on Artificial Intelligence (2011)
Enes Makalic, Daniel Francis Schmidt
Logistic Regression with the Nonnegative Garrote. Australasian Conference on Artificial Intelligence (2011)
Enes Makalic, Daniel Francis Schmidt
Fast Computation of the Kullback-Leibler Divergence and Exact Fisher Information for the First-Order Moving Average Model. IEEE Signal Process. Lett. 17 (4) (2010)
Daniel Francis Schmidt, Enes Makalic
The Behaviour of the Akaike Information Criterion When Applied to Non-nested Sequences of Models. Australasian Conference on Artificial Intelligence (2010)
Enes Makalic, Daniel Francis Schmidt
Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems. Australasian Conference on Artificial Intelligence (2010)
Daniel Francis Schmidt, Ingrid Zukerman, David W. Albrecht
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains. UMAP (2009)
Daniel Francis Schmidt, Enes Makalic
MML Invariant Linear Regression. Australasian Conference on Artificial Intelligence (2009)
Fabian Bohnert, Daniel Francis Schmidt, Ingrid Zukerman
Spatial Processes for Recommender Systems. IJCAI (2009)
Daniel Francis Schmidt, Enes Makalic
Universal models for the exponential distribution. IEEE Trans. Inf. Theory 55 (7) (2009)
Fabian Bohnert, Ingrid Zukerman, Daniel Francis Schmidt
Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits. ITWP (2009)
Enes Makalic, Ingrid Zukerman, Michael Niemann, Daniel Francis Schmidt
A Probabilistic Model for Understanding Composite Spoken Descriptions. PRICAI (2008)