Mark Bartlett

Search results

• 2013

  Advances in Bayesian Network Learning using Integer Programming

  Bartlett, M. & Cussens, J., 2013, Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI 2013). AUAI Press, p. 182-191 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2011

  Probabilistic Instruction Cache Analysis using Bayesian Networks

  Bartlett, M., Bate, I., Cussens, J. & Kazakov, D., 2011, Proceedings of the 17th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2011). Vol. 1. p. 233 - 242

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Video Subset Selection for Measurement Based Worst Case Execution Time Analysis

  Wheeler, S., Bate, I. & Bartlett, M., 2011, Proceedings of the 6th IEEE International Symposium on Industrial Embedded Systems (SIES'11).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2010

  Instruction Cache Prediction Using Bayesian Networks

  Bartlett, M., Bate, I. & Cussens, J., 1 Aug 2010, Proceedings of the 19th European Conference on Artificial Intelligence (ECAI 2010). Lisbon, Portugal: IOS Press, Vol. 215. p. 1099-1100 2 p. (Frontiers in Artificial Intelligence and Applications; vol. 215).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Learning Bayesian Networks for Improved Instruction Cache Analysis

  Bartlett, M., Bate, I. & Cussens, J., 2010, 2010 Ninth International Conference on Machine Learning and Applications: Proceedings of the 9th International Conference on Machine Learning and Applications. IEEE, p. 417-423 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2009

  Guaranteed Loop Bound Identification from Program Traces for WCET

  Bartlett, M., Bate, I. & Kazakov, D., 1 Apr 2009, Proceedings of the 15th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). LOS ALAMITOS: IEEE Computer Society, p. 287-294

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
• 2008

  Challenges in Relational Learning for Real-Time Systems Applications

  Bartlett, M., Bate, I. & Kazakov, D., 2008, INDUCTIVE LOGIC PROGRAMMING, ILP 2008. Zelezny, F. & Lavrac, N. (eds.). BERLIN: Springer, Vol. 5194 LNAI. p. 42-58 17 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2005

  Comparing resource sharing with information exchange in co-operative agents, and the role of environment structure

  Bartlett, M. & Kazakov, D., 2005, ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS II. Kudenko, D., Kazakov, D. & Alonso, E. (eds.). BERLIN: Springer, p. 41-54 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• The temporal knapsack problem and its solution

  Bartlett, M., Frisch, A. M., Hamadi, Y., Miguel, I., Tarim, S. A. & Unsworth, C., 2005, INTEGRATION OF AI AND OR TECHNIQUES IN CONSTRAINT PROGRAMMING FOR COMBINATORIAL OPTIMIZATION PROBLEMS. Bartak, R. & Milano, M. (eds.). BERLIN: Springer, p. 34-48 15 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• 2004

  Social learning through evolution of language

  Kazakov, D. & Bartlett, M., 2004, ARTIFICIAL EVOLUTION. Liardet, P., Collet, P., Fonlupt, C., Lutton, E. & Schoenauer, M. (eds.). BERLIN: Springer, p. 397-408 12 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution