Daniel Francis Schmidt

14 papers A* 1A 1B 1Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2021 J jnl
Minimum Message Length Inference of the Exponential Distribution with Type I Censoring.
Entropy
Enes Makalic, Daniel Francis Schmidt
2012 J jnl
The Consistency of MDL for Linear Regression Models With Increasing Signal-to-Noise Ratio.
IEEE Trans. Signal Process.
Daniel Francis Schmidt, Enes Makalic
2011 — conf
A Simple Bayesian Algorithm for Feature Ranking in High Dimensional Regression Problems.
Australasian Conference on Artificial Intelligence
Enes Makalic, Daniel Francis Schmidt
2011 J jnl
Estimating the Order of an Autoregressive Model Using Normalized Maximum Likelihood.
IEEE Trans. Signal Process.
Daniel Francis Schmidt, Enes Makalic
2011 — conf
Logistic Regression with the Nonnegative Garrote.
Australasian Conference on Artificial Intelligence
Enes Makalic, Daniel Francis Schmidt
2010 J jnl
Fast Computation of the Kullback-Leibler Divergence and Exact Fisher Information for the First-Order Moving Average Model.
IEEE Signal Process. Lett.
Enes Makalic, Daniel Francis Schmidt
2010 — conf
Review of Modern Logistic Regression Methods with Application to Small and Medium Sample Size Problems.
Australasian Conference on Artificial Intelligence
Enes Makalic, Daniel Francis Schmidt
2010 — conf
The Behaviour of the Akaike Information Criterion When Applied to Non-nested Sequences of Models.
Australasian Conference on Artificial Intelligence
Daniel Francis Schmidt, Enes Makalic
2009 A conf
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains.
UMAP
Daniel Francis Schmidt, Ingrid Zukerman, David W. Albrecht
2009 — conf
MML Invariant Linear Regression.
Australasian Conference on Artificial Intelligence
Daniel Francis Schmidt, Enes Makalic
2009 A* conf
Spatial Processes for Recommender Systems.
IJCAI
Fabian Bohnert, Daniel Francis Schmidt, Ingrid Zukerman
2009 J jnl
Universal models for the exponential distribution.
IEEE Trans. Inf. Theory
Daniel Francis Schmidt, Enes Makalic
2009 — conf
Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits.
ITWP
Fabian Bohnert, Ingrid Zukerman, Daniel Francis Schmidt
2008 B conf
A Probabilistic Model for Understanding Composite Spoken Descriptions.
PRICAI
Enes Makalic, Ingrid Zukerman, Michael Niemann, Daniel Francis Schmidt