Publications by Li, Lihong
In Journal (refereed)
| 1. | L. Li, V. Bulitko, R. Greiner. "Focus of Attention in Reinforcement Learning". Journal of Universal Computer Science, 13(9), pp 24, October 2007.   |
In Conference (refereed)
| 2. | L. Li, V. Bulitko, R. Greiner. "Batch reinforcement learning with state importance". European Conference on Machine Learning (ECML), Pisa, Italy, pp 566-588, October 2004. |
| 3. | I. Levner, L. Li, R. Greiner, V. Bulitko. "Improving an adaptive image interpretation system by leveraging". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 501-506, December 2003. |
| 4. | I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Learning robust object recognition strategies". Eighth Australian and New Zealand Conference on Intelligent Information Systems (ANZCIIS), New Zealand, pp 489-494, December 2003. |
| 5. | I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Automated feature extraction for object recognition". Image and Vision Computing New Zealand (IVCNZ), New Zealand, pp 309-313, December 2003. |
| 6. | V. Bulitko, L. Li, R. Greiner, I. Levner. "Lookahead Pathologies for Single Agent Search". International Joint Conference on Artificial Intelligence (IJCAI), Acapulco, Mexico, August 2003. |
| 7. | I. Levner, V. Bulitko, L. Li, G. Lee, R. Greiner. "Towards automated creation of image interpretation systems". Australian Joint Conference on Artificial Intelligence, pp 653-665, July 2003. |
In Workshop
| 8. | L. Li, V. Bulitko, R. Greiner. "Focus of attention in sequential decision making". Learning and Planning in Markov Processes -- Advances and Challenges, pp 43--48, July 2004. |
| 9. | L. Li, V. Bulitko, I. Levner. "Learning Distance Metrics". Workshop on Approximate Nearest Neighbors Methods for Learning and Vision, Whistler, British Columbia, December 2003. |
| 10. | V. Bulitko, L. Li, R. Greiner, I. Levner. "Adaptive image interpretation: A spectrum of machine learning problems". The Continuum from Labeled to Unlabeled Data in Machine Learning and Data Mining, July 2003. |
