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layout	title	section
name	Publications	Work

Publications

Below are some of the papers I have had published. Clicking on the title will download a PDF copy of the paper.

Journal Articles ================ _[Cross-training and its Application to Skill-Mining][isj01]{:.pdf :}_. Daniel Oblinger, Mark Reid, Mark Brodie, and Rodrigo de Salvo Braz. IBM Systems Journal (Vol. 41, No. 3), pp. 449-460, **2002**

Book Chapters ============= _Squinting at a Sea of Dots: Visualising Australian Readerships using Statistical Machine Learning_. [Julieanne Lamond][julieanne] and Mark D. Reid. Resourceful Reading: The New Empiricism, eResearch and Australian Literary Culture, January **2010**.

Conference Papers ================= _Convexity of Proper Composite Binary Losses_. Mark D. Reid and [Robert C. Williamson][bob]. To appear in [Proc. of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)][aistats2010], **2010**

Kernel Conditional Quantile Estimation via Reduction Revisited. Novi Quadrianto, Kristian Kersting, Mark Reid, Tiberio Caetano, and Wray Buntine. In the Proc. of the IEEE International Conference on Data Mining (ICDM 2009), 2009

Generalised Pinsker Inequalities{:.pdf }. (Slides) Mark D. Reid and Robert C. Williamson. In the Proc. of the 22nd Annual Conference on Learning Theory (COLT 2009), 2009

Surrogate Regret Bounds for Proper Losses{:.pdf }. (Slides) Mark D. Reid and Robert C. Williamson. In the Proc. of the 26th International Conference on Machine Learning (ICML 2009), 2009

Improving Rule Evaluation Using Multitask Learning{:.pdf :}. Mark D. Reid. In the Proc. of the 14th International Conference on ILP, pp. 252-269, 2004

Using ILP to Improve Planning in Hierarchical Reinforcement Learning{:.pdf :}. Mark Reid and Malcolm Ryan. In the Proc. of the 10th International Conference on ILP, pp. 174-190, 2000

Learning to Fly: An Application of Hierarchical Reinforcement Learning{:.pdf :}. Malcolm Ryan and Mark Reid. In the Proc. of the 17th International Conference on Machine Learning, pp. 807-814, 2000

NRMIS: A Noise Resistant Model Inference System{:.pdf :}. Eric McCreath and Mark Reid. Discovery Science, pp. 252-263, 1999

Thesis ====== _[DEFT Guessing: Using Inductive Transfer to Improve Rule Evaluation from Limited Data][unsw07]{:.pdf :}_. Mark D. Reid. School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia. **2007**

Non-refereed Reports ==================== _[Information, Divergence and Risk for Binary Experiments][arxiv09]_. Mark D. Reid and Robert C. Williamson. arXiv:0901.0356v1 \[stat.ML\], **2009**

Patent Applications =================== _[Determining Page Complexity][pat06]_. Barry James Drake and Mark Darren Reid. Australian Application Number: 2006252174, **2006**