Publications

In this Section:

Invited Presentations

If you're looking for something that you think I or my group has recently published but that isn't listed here, please don't hesitate to contact me directly at .

Dissertation

Machine Learning Techniques for the Computer Security Domain of Anomaly Detection. PhD thesis, Purdue University, W. Lafayette, IN, August 2000.

Journal Articles

Qiu, S., Yang, C., and Lane, T., " Efficient Target Detection for RNA Interference". The Journal of Supercomputing. Appeared online, Apr 2007; awaiting paper publication.
Blum, A., Chawla, S., Karger, D., Lane, T., Meyerson, A., and Minkoff, M., "Approximation algorithms for Orienteering and Discounted-Reward TSP". SIAM Journal on Computing. 37(2), 2007. pp 653-670.
Qiu, S. and Lane, T., "Implications of Phase Transitions in Knockdown Networks of Transitive RNAi". IEEE Transactions on Nanobioscience. 6(1), Mar 2007. pp 68-76.
Roy, S., Lane, T., Allen, C., Aragon, A. and Werner-Washburne, M., "A Hidden-state Markov Model for Cell Population Deconvolution". Journal of Computational Biology. 13(10), Dec 2006. pp 1749-1774.
"RNA String Kernels for RNAi Off-Target Evaluation". Qiu, S. and Lane, T. Int'l Journal of Bioinformatics Research and Applications. 2(2), Apr 2006. pp 132-146
"A Computational Study of Cross-Reactivity in RNA Interference,". Qui, S., Adema, C., and Lane, T., Nucleic Acids Research, 33(6), pp 1834-1847, 2005.
"RNA Interference-Based Gene Family Knockdown via Computational Set Covering". Zhao, W., Fanning, L., and Lane, T. Artificial Intelligence in Medicine. (Preprint)
"An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection". Lane, T. and Brodley, C. E. Machine Learning 51(1), 2003. pp 73-107.
"Temporal Sequence Learning and Data Reduction for Anomaly Detection". Lane, T. and Brodley, C. E. ACM Transactions on Information and System Security, 2(3). pp 295-331. 1999. Abstract.

Full-Paper Peer Reviewed Conference Articles

Burge. J. and Lane, T., "Shrinkage Estimator for Bayesian Network Parameters". Proceedings of the Eighteenth European Conference on Machine Learning (ECML-2007). To appear.
Qiu, S., Lane, T., and Buturovic, L., "A Randomized String Kernel and Its Application to RNA Interference". Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI-2007). pp 627-632.
Lane, T., Ridens, M., and Stevens, S. "Reinforcement Learning in Nonstationary Environment Navigation Tasks". Proceedings of the Twentieth Candian Conference on Artificial Intelligence (CANAI-2007). (The co-authors on this paper were undergraduate students, working under an NSF-sponsored Research Experiences for Undergraduates (REU) program. This paper was driven by my ideas, but they designed and implemented all experiments.)
Improving Bayesian network structure search with random variable aggregation hierarchies. J. Burge and T. Lane. In J. Fürnkranz, T. Scheffer, and M. Spiliopoulou, editors, Proceedings of the Seventeenth European Conference on Machine Learning (ECML-2006). Berlin, Germany, September 2006. pp 66-77.
Qiu, S., Yang, C., and Lane, T., "Efficient Target Detection for RNA Interference". Proceedings of the First International Conference on Advances in Grid and Pervasive Computing (GPC 2006). pp 22-31. 2006. (Best paper award.)
Qiu, S. and Lane, T., "Phase Transition in Gene Knockdown Networks of Transitive RNAi" International Conference on Computational Science 2006. pp 895-903.
"Learning Class-Discriminative Dynamic Bayesian Networks". Burge, J. and Lane, T. In Luc De Raedt, Stefan Wrobel (Eds.) Proceedings of the 22nd International Machine Learning Conference, ACM Press, 2005.
" Parallel Computation of RBF Kernels for Support Vector Classifiers.". Qiu, S. and Lane, T., Proceedings of the 2005 SIAM Conference on Data Mining (SIAM-DM 2005).
"Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks". Lane, T. and Wilson, A. Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2005).
Qiu, S. and Lane, T. "Evaluating Off-Target Effects of RNA Interference Using String Kernels of Imperfect Matches". International Conference on Computational Science 2005, vol 2, pp 894-902. May, 2005.
" Approximation Algorithms for Orienteering and Discounted-Reward TSP". Blum, A., Chawla, S., Karger, D., Lane, T., Meyerson, A., and Minkoff, M. Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS-2003) Cambridge, MA. 2003.
"Nearly Deterministic Abstractions of Markov Decision Processes". Lane, T. and Kaelbling, L. P. Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-2002). Abstract.
"Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data". Lane, T. and Brodley, C. E. Proceedings of the Seventeenth International Conference on Machine Learning, pp 519-526. 2000. Abstract.
"Temporal Sequence Learning and Data Reduction for Anomaly Detection". Lane, T. and Brodley, C. E. In Proceedings of the Fifth ACM Conference on Computer and Communications Security, pp 150-158. 1998. Abstract.
"Approaches to Online Learning and Concept Drift for User Identification in Computer Security." Lane, T, and Brodley, C. E. In Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp 259-263. 1998. Abstract.
"An Application of Machine Learning to Anomaly Detection.". Lane, T, and Brodley, C. E. 20th Annual National Information Systems Security Conference, vol 1, pp 366-380. 1997. Abstract.

Book Chapters

Qiu, S. and Lane, T., "RNA Interference and microRNA". In Hu, X. and Pan, Y., eds. Knowledge Discovery in Bioinformatics: Techniques, Methods and Applications. John Wiley & Sons. 2007.
"A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection". Lane, T. In Maloof, M., ed., Machine learning and data mining for computer security: Methods and applications. London: Springer-Verlag. 2006.
"Automated Knowledge Capture and User Modeling". Lane, T. In Forsythe, J. C., Bernard, M., and Goldsmith, T., eds., Cognitive Systems: Human Cognitive Models in Systems Design. Mahwah, NJ: Lawrence Erlbaum Associates. 2005.

Invited and Popular Articles

Wagstaff, K. and Lane, T., "The 2006 AAAI/SIGART Doctoral Consortium". AI Magazine 28(1), Spring 2007. pp. 84-85.
Lane, T., Rao, B., Bi, J., Liang, J. and Salganicoff, M. "On the Medical Frontier: the 2006 KDD Cup Competition". ACM SIGKDD Explorations. 8(2), Dec 2006. pp 39-46.
Margineantu, D., Bay, S., Chan, P., and Lane, T., "Data Mining Methods for Anomaly Detection KDD-2005 Workshop Report". ACM SIGKDD Explorations, 7(2). Dec 2005. pp 132-136.
"Knowledge Discovery and Data Mining". Brodley, C. E., Lane, T., and Stough, T. In American Scientist, 87(1). pp 54-61. 1999.

Workshop Articles, Posters, and Abstract Reviewed Papers

Roy, S., Lane, T., Werner-Washburne, M. "Integrative Construction and Analysis of Condition-specific Biological Networks". Paper-reviewed poster at Proceedings of the 2007 AAAI Poster Session. Jul, 2007.
Roy, S., Lane, T., Werner-Washburne, M. "Predicting protein-protein interactions using amino-acid composition". Abstract-reviewed poster at The 2006 RECOMB Satellite Conferences on Systems Biology. Dec, 2006.
"Phase Transition in Gene Knockdown Networks of Transitive RNAi," Qiu, S. and Lane, T. 2006 International Workshop on Bioinformatics Research and Applications (at International Conference on Computational Science 2006).
"Cell Population Deconvolution using Particle Filters". Roy, S., Lane, T., Werner-Washburne, M. Abstract-reviewed poster at RECOMB 2006. Apr, 2006.
"The Impact of Social Networks on Multi-Agent Recommender Systems,". Link, H., Saia, J., Lane, T., and Laviolette, R. Proceedings of the PKDD- 2005 Workshop on Cooperative Multi-Agent Learning. Oct, 2005.
"A Datamining Approach to Cell Population Deconvolution from Gene Expressions using Particle Filters". Roy, S., Lane, T., and Werner-Washburne, M. KDD-2005 Workshop on Datamining in Bioinformatics (BIOKDD). Aug, 2005.
"siRNA Off-target Search: A Hybrid q-gram Based Filtering Approach". Zhao, W. and Lane, T., Proceedings 5th ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD). Aug, 2005.
"Why (PO)MDPs Lose for Spatial Tasks and What to Do About It". Lane, T. and Smart, W. in Proceedings of the ICML 2005 Workshop on Rich Representations for Reinforcement Learning, Aug, 2005.
"Comprehensibility of Generative vs. Class Discriminative Dynamic Bayes Multinets". Burge, J. and Lane, T. In Proceedings of the AAAI-2005 Workshop on Human Comprehensible Machine Learning. July, 2005.
"Evaluating Off-Target Effects of RNA Interference Using String Kernels of Imperfect Matches". (Original title, used in PDF version: "String Kernels of Imperfect Matches for Off-Target Detection in RNA Interference"). Qiu, S. and Lane, T. International Workshop on Bioinformatics Research and Applications (at International Conference on Computational Science 2005), vol 2, pp 894–902. May, 2005.
"Models and Model Biases for Automatically Learning Task Switching Behavior". Link, H., Lane, T., and Magliano, J. In Proceedings of the 2005 HCI International (HCII) Conference on Augmented Cognition. HCI International (HCII) 2005.
"Dynamic Bayesian Network Classification of fMRI Data Reveals Enhanced Functional Connectivity of the Amygdala in Senile Dementia". Burge, J. and Clark, V. P. and Lane, T. In Annual Meeting Abstracts Volume, Thirty-Fourth Annual Meeting of the Society for Neuroscience, 2004. Reviewed Abstract. Only available on CD-ROM or online (No direct link available: visit http://sfn.scholarone.com/itin2004/, create a username, and search for authors "Burge" and "Lane" using the Standard Search)
"Approaches to Macro Decompositions of Large Markov Decision Process Planning Problems". Lane, T. and Kaelbling, L. P. In Proceedings of the 2001 SPIE Conference on Mobile Robotics. 2001. Abstract
"Toward Hierarchical Decomposition for Planning in Uncertain Environments." Lane, T. and Kaelbling, L. P. In Proceedings of the 2001 IJCAI Workshop on Planning under Uncertainty and Incomplete Information, pp 1-7. 2001. Abstract.
"Hidden Markov Models for Human/Computer Interface Modeling". Lane, T. In Proceedings of the IJCAI-99 Workshop on Learning about Users, pp 35-44. 1999. Abstract.
"Filtering Techniques for Rapid User Classification." Lane, T. In Proceedings of the AAAI-98/ICML-98 Joint Workshop on AI Approaches to Time-series Analysis, pp 58-63. 1998. Abstract.
"Sequence Matching and Learning in Anomaly Detection for Computer Security." Lane, T, and Brodley, C. E. In Proceedings of the AAAI-97 Workshop on AI Approaches to Fraud Detection and Risk Management, pp 43-49. 1997. Abstract.
"Creating and exploiting diversity". Brodley, C. E. and Lane, T. In Proceedings of the AAAI-96 Workshop: Integrating Multiple Learned Models for Improving and Scaling Machine Learning, pp 8-14. 1996.

Invited Presentations

Invited Presentations page

Technical Reports

"Multiple Kernel Learning for Support Vector Regression". Shibin Qiu and Terran Lane. University of New Mexico Technical Report TR-CS-2005-42
"Distributed Recommender Systems and the Network Topologies that Love Them". Link, H., Saia, J., Lane T. and Laviolette, R. University of New Mexico Technical Report TR-CS-2005-27.
"A Practical Approach to Significance Assessment of siRNA Off-target Effects in RNA Interference". Zhao, W., Lane T. University of New Mexico Technical Report TR-CS-2005-23.
"Efficient RNAi-Based Gene Family Knockdown via Set Cover Optimization". Zhao W., Fanning, L. and Lane, T., University of New Mexico Technical Report TR-CS-2004-32.
"A Sequential Monte Carlo Sampling Approach for Cell Population Deconvolution from Microarray Data". Roy, S., Lane T, Allen C., Aragon A. and Werner-Washburne, M. University of New Mexico Technical Report TR-CS-2004-29.
"Bayesian Classification of FMRI Data: Evidence for Altered Neural Networks in Dementia." Burge J., Clark V. P., Lane T., Link, H. and Qiu, S. University of New Mexico Technical Report TR-CS-2004-28.
"Toward a Topological Theory of Relational Reinforcement Learning for Navigation Tasks". Lane, T. and Wilson, A. University of New Mexico Technical Report TR-CS-2004-17.
"A Decision-Theoretic, Semi-Supervised Model for Intrusion Detection". Lane, T. University of New Mexico Technical Report TR-CS-2004-16.
"Parallel Kernel Computation for High Dimensional Data and Its Application to fMRI Image Classification". Qiu, S. and Lane, T. University of New Mexico Technical Report TR-CS-2004-12.
"Detecting the Abnormal: Machine Learning in Computer Security". Lane, T. and Brodley, C. E. Available as Technical Report ECE-97-1, January 1997, Department of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907. Abstract.

Strangeness

"On the Origin and Destiny of Inductive Machine Learning". In Journal of Machine Learning Gossip 1(1), 2003.

BibTeX database entries for all of the above can be found here.