Mark A. Hall

Publication Activity (10 Years)

Years Active: 1995-2019
Publications (10 Years): 2

Top Topics

Production Capacity

Locally Weighted

Top Venues

Int. J. Prod. Res.

Knowl. Based Syst.

Publications

Steven Lang, Felipe Bravo-Marquez, Christopher Beckham, Mark A. Hall, Eibe Frank
WekaDeeplearning4j: A deep learning package for Weka based on Deeplearning4j. Knowl. Based Syst. 178 (2019)
Amir Qamar, Mark A. Hall, Simon Collinson
Lean versus agile production: flexibility trade-offs within the automotive supply chain. Int. J. Prod. Res. 56 (11) (2018)
Eibe Frank, Mark A. Hall, Bernhard Pfahringer
Locally Weighted Naive Bayes CoRR (2012)
Remco R. Bouckaert, Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
WEKA - Experiences with a Java Open-Source Project. J. Mach. Learn. Res. 11 (2010)
Mark A. Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten
The WEKA data mining software: an update. SIGKDD Explor. 11 (1) (2009)
Martin Gütlein, Eibe Frank, Mark A. Hall, Andreas Karwath
Large-scale attribute selection using wrappers. CIDM (2009)
Mark A. Hall, Eibe Frank
Combining Naive Bayes and Decision Tables. FLAIRS Conference (2008)
Eibe Frank, Mark A. Hall
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem. Australasian Conference on Artificial Intelligence (2008)
Mark A. Hall
A decision tree-based attribute weighting filter for naive Bayes. Knowl. Based Syst. 20 (2) (2007)
Marc Sumner, Eibe Frank, Mark A. Hall
Speeding Up Logistic Model Tree Induction. PKDD (2005)
Niels Landwehr, Mark A. Hall, Eibe Frank
Logistic Model Trees. Mach. Learn. 59 (1-2) (2005)
Yu Wang, Igor V. Tetko, Mark A. Hall, Eibe Frank, Axel Facius, Klaus F. X. Mayer, Hans-Werner Mewes
Gene selection from microarray data for cancer classification - a machine learning approach. Comput. Biol. Chem. 29 (1) (2005)
Stefan Mutter, Mark A. Hall, Eibe Frank
Using Classification to Evaluate the Output of Confidence-Based Association Rule Mining. Australian Conference on Artificial Intelligence (2004)
Anthony McGregor, Mark A. Hall, Perry Lorier, James Brunskill
Flow Clustering Using Machine Learning Techniques. PAM (2004)
Eibe Frank, Mark A. Hall, Leonard E. Trigg, Geoffrey Holmes, Ian H. Witten
Data mining in bioinformatics using Weka. Bioinform. 20 (15) (2004)
Eibe Frank, Mark A. Hall
Visualizing Class Probability Estimators. PKDD (2003)
Mark A. Hall, Geoffrey Holmes
Benchmarking Attribute Selection Techniques for Discrete Class Data Mining. IEEE Trans. Knowl. Data Eng. 15 (6) (2003)
Niels Landwehr, Mark A. Hall, Eibe Frank
Logistic Model Trees. ECML (2003)
Eibe Frank, Mark A. Hall, Bernhard Pfahringer
Locally Weighted Naive Bayes. UAI (2003)
Eibe Frank, Geoffrey Holmes, Richard Kirkby, Mark A. Hall
Racing Committees for Large Datasets. Discovery Science (2002)
Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark A. Hall
Multiclass Alternating Decision Trees. ECML (2002)
Malcolm Ware, Eibe Frank, Geoffrey Holmes, Mark A. Hall, Ian H. Witten
Interactive machine learning: letting users build classifiers. Int. J. Hum. Comput. Stud. 55 (3) (2001)
Andrew Turpin, Eibe Frank, Mark A. Hall, Ian H. Witten, Chris A. Johnson
Determining Progression in Glaucoma Using Visual Fields. PAKDD (2001)
Eibe Frank, Mark A. Hall
A Simple Approach to Ordinal Classification. ECML (2001)
Mark A. Hall
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. ICML (2000)
Geoffrey Holmes, Mark A. Hall, Eibe Frank
Generating Rule Sets from Model Trees. Australian Joint Conference on Artificial Intelligence (1999)
Mark A. Hall, Lloyd A. Smith
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper. FLAIRS Conference (1999)
Mark A. Hall
Selection of Attributes for Modeling Bach Chorales by a Genetic Algorithm. ANNES (1995)