Daniel Francis Schmidt

14 papers A* 1A 1B 1Journal 5Unranked 6

Year	Rank	Type	Title / 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