Publications by Alan Fern


2016


Md Amran Siddiqui, Alan Fern, Thomas Dietterich, and Shubhomoy Das. (2016). Finite Sample Complexity of Rare Pattern Anomaly Detection. Conference on Uncertainty in Artificial Intelligence (UAI-2016)PDF


Shubhomoy Das, Weng-Keen Wong, Thomas Dietterich, and Alan Fern. (2016). Incorporating Expert Feedback into Active Anomaly Discovery. IEEE International Conference on Data Mining (ICDM-2016). PDF


Nima Dolatnia, Alan Fern, and Xiaoli Fern. (2016). Bayesian Optimization with Resource Constraints and Production. International Conference on Automated Planning and Scheduling Systems (ICAPS-2016). PDF


Jose Picado, Parisa Ataie, Arash Termehchy and Alan Fern. (2016). Schema Independent and Scalable Relational Learning by Castor. Proceedings of the VLDB Endowment (PVLDB-2016)PDF


Javad Azimi, Xiaoli Fern, and Alan Fern. (2016). Budgeted Optimization with Constrained Experiments. Journal of Artificial Intelligence Research, 56, pp. 119-152. web link


2015

 

Jesse Hostetler, Alan Fern and Tom Dietterich.(2015). Progressive Abstraction Refinement for Sparse Sampling. Conference on Uncertainty in Artificial Intelligence (UAI-2015). PDF

 

Murugeswari Issakkimuthu, Alan Fern, Roni Khardon, Prasad Tadepalli, and Shan Xue. (2015). Hindsight Optimization for Probabilistic Planning with Factored Actions. International Conference on Automated Planning and Scheduling (ICAPS-2015). PDF


Md Amran Siddiqui, Alan Fern, Thomas Dietterich, and Weng-Keen Wong. (2015). Sequential Feature Explanations for Anomaly Detection. SIGKDD Workshop on Outlier Detection and Description. PDF

 

Ashwin Raghavan, Roni Khardon, Prasad Tadepalli, and Alan Fern. (2015). Memory-Efficient Symbolic Online Planning for Factored MDPs. Conference on Uncertainty in Artificial Intelligence (UAI-2015). PDF


Sheng Chen, Alan Fern, and Sinisa Todorovic. (2015). Person Count Localization in Videos from Noisy Foreground and Detections. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2015). PDF

 

Robby Goetschalckx, Alan Fern and Prasad Tadepalli. (2015). Multitask Coactive Learning. International Joint Conference on Artificial Intelligence (IJCAI-2015). PDF

 

Mandana Hamidi, Robby Goetschalckx, Prasad Tadepalli, and Alan Fern. (2015). Active Imitation Learning of Hierarchical Policies. International Joint Conference on Artificial Intelligence (IJCAI-2015). PDF

 

Hao Cui, Roni Khardon, Alan Fern, and Prasad Tadepalli. (2015). Factored MCTS for Large Scale Stochastic Planning. AAAI Conference on Artificial Intelligence (AAAI-2015). PDF

 

Frank Liu, Rob Hess, and Alan Fern. (2015). Efficiently Constructing Mosaics from Video Collections. IEEE Winter Conference on Applications of Computer Vision (WACV-2015). PDF

 

Shan Xue, Alan Fern, and Dan Sheldon. (2015). Scheduling Conservation Designs for Maximum Flexibility via Network Cascade Optimization. Journal of Artificial Intelligence Research, 52, pp. 331-360. PDF

 

2014

 

Jervis Pinto and Alan Fern. (2014). Learning Partial Policies to Speedup MDP Tree Search. Conference on Uncertainty in Artificial Intelligence (UAI-2014). PDF

 

Kshitij Judah, Alan Fern, Thomas Dietterich, and Prasad Tadepalli. (2014). Active Imitation Learning: Formal and Practical Reductions to I.I.D. Learning. Journal of Machine Learning Research, 15, pp. 3925−3963. online

 

Sheng Chen, Alan Fern, and Sinisa Todorovic. (2014). Multi-Object Tracking via Constrained Sequential Labeling. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2014). PDF

 

Jesse Hostetler, Alan Fern and Tom Dietterich.(2014). State Aggregation in Monte Carlo Tree Search. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF

 

Sheng Chen, Zhongyuan Feng, Qingkai Lu, Trevor Fiez, Behrooz Mahasseni, Alan Fern, and Sinisa Todorovic. (2014). Play Type Recognition in Real-World Football Video. IEEE Winter Conference on Applications of Computer Vision (WACV-14). PDF

 

Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2014). HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. Journal of Artificial Intelligence Research, 50, pp. 369-407. online

 

Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2014). Structured Prediction via Output Space Search. Journal of Machine Learning Research, 15, pp. 1317−1350. online

 

Alan Fern, Sriraam Natarajan, Prasad Tadepalli, and Kshitij Judah. (2014). A Decision-Theoretic Model of Assistance. Journal of Artificial Intelligence Research, 50. online

 

Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2014). Improving Bayesian Optimization for Reinforcement Learning by Exploiting Trajectory Data. Journal of Machine Learning Research, 15, pp. 253-282. online 

 

Kshitij Judah, Alan Fern, Prasad Tadepalli and Robby Goetschalckx. (2014). Imitation Learning with Demonstrations and Shaping Rewards. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF

 

Shan Xue, Alan Fern, and Daniel Sheldon. (2014). Dynamic Resource Allocation for Optimizing Population Diffusion. International Conference on Artificial Intelligence and Statistics (AISTATS-14). PDF

 

Robby Goetschalckx, Alan Fern and Prasad Tadepalli. (2014). Coactive Learning for Locally Optimal Problem Solving. AAAI Conference on Artificial Intelligence (AAAI-2014). PDF

 

Janardhan Rao Doppa, Jun Yu, Chao Ma, Alan Fern and Prasad Tadepalli. (2014). HC-Search for Multi-Label Prediction: An Empirical Study. AAAI Conference on Artificial Intelligence (AAAI-2014).  PDF

 

2013

 

Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2013). HC-Search: Learning Heuristics and Cost Functions for Structured Prediction. AAAI Conference on Artificial Intelligence (AAAI-2013). PDF

 

Brian King, Alan Fern, and Jesse Hostetler. (2013). On Adversarial Policy Switching with Experiments in Real-Time Strategy Games. International Conference on Automated Planning and Scheduling (ICAPS-2013). PDF

 

Behrooz Mahasseni, Sheng Chen, Alan Fern, and Sinisa Todorovic. (2013). Detecting the Moment of Snap in Real-World Football Video. Innovative Applications of Artificial Intelligence (IAAI-2013). PDF

 

Saket Joshi, Roni Khardon, Prasad Tadepalli, Ashwin Raghavan, and Alan Fern. Solving Relational MDPs with Exogenous Events and Additive Rewards. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD-2013). PDF


Ashwin Raghavan, Roni Khardon, Prasad Tadepalli, and Alan Fern. (2013). Symbolic Opportunistic Policy Iteration for Factored-Action MDPs. Advances in Neural Information Processing Systems (NIPS-2013). PDF

 

Mohamed R. Amer, Sinisa Todorovic, and Alan Fern. (2013). Monte Carlo Tree Search for Scheduling Activity Recognition. IEEE International Conference on Computer Vision. (ICCV-2013). PDF

 

Andrew Emmott, Shubhomoy Das, Thomas Dietterich, Alan Fern and Weng-Keen Wong. (2013). Systematic Construction of Anomaly Detection Benchmarks from Real Data. SIGKDD Workshop on Outlier Detection and Description. PDF

 

Ted E. Senator, Henry G. Goldberg, Alex Memory, William T. Young, Brad Rees, Robert Pierce, Daniel Huang, Matthew Reardon, David A.Bader, Edmond Chow, Irfan Essa, Joshua Jones, Vinay Bettadapura, Duen Horng Chau, Oded Green, Oguz Kaya, Anita Zakrzewska, Erica Briscoe, Rudolph L. Mappus IV, Robert McColl, Lora Weiss, Thomas G. Dietterich, Alan Fern, Weng-Keen Wong, Shubhomoy Das, Andrew Emmott, Jed Irvine, Jay-Yoon Lee, Danai Koutra, Christos Faloutsos, Daniel Corkill, Lisa Friedland, Amanda Gentzel, David Jensen. (2013). Detecting Insider Threats in a Real Corporate Database of Computer Usage Activity. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2013). PDF

 

2012

Kshitij Judah, Alan Fern, and Tom Dietterich. (2012). Active Imitation Learning via Reduction to I.I.D. Active Learning. Conference on Uncertainty in Artificial Intelligence (UAI-12). PDF

 

Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2012). A Bayesian Approach for Policy Learning from Trajectory Preference Queries. Advances in Neural Information Processing Systems (NIPS-2011). PDF

 

Jesse Hostetler, Ethan Dereszynski, Tom Dietterich, and Alan Fern. (2012). Inferring Strategies from Limited Reconnaissance in Real-time Strategy Games. Conference on Uncertainty in Artificial Intelligence (UAI-2012). PDF

 

Janardhan Rao Doppa, Alan Fern, and Prasad Tadepalli. (2012). Output Space Search for Structured Prediction. International Conference on Machine Learning (ICML-12). PDF

 

Javad Azimi, Alan Fern, Xiaoli Fern, Glencora Borradaile, and Brent Heeringa. (2012). Batch Active Learning via Coordinated Matching. International Conference on Machine Learning (ICML-12). PDF (Supplementary Material)

 

Shan Xue, Alan Fern, and Dan Sheldon. (2012). Scheduling Conservation Designs via Network Cascade Optimization. AAAI Conference on Artificial Intelligence (AAAI-12). PDF

 

Aswin Nadamuni Raghavan, Alan Fern, Prasad Tadepalli, Roni Khardon, and Saket Joshi. (2012). Planning in Factored Action Spaces with Symbolic Dynamic Programming. AAAI Conference on Artificial Intelligence (AAAI-12). PDF

 

Brian King, Alan Fern, and Jesse Hostetler. (2012). Adversarial Policy Switching with Application to RTS Games. AIIDE Workshop on Artificial Intelligence in Adversarial Real-Time Games. PDF

 

2011

 

Javad Azami, Alan Fern, and Xiaoli Fern. (2011). Budgeted Optimization with Concurrent Stochastic-Duration Experiments. Advances in Neural Information Processing Systems (NIPS-2011). PDF (w/ appendix)

 

Neville Mehta, Prasad Tadepalli, and Alan Fern. (2011). Autonomous Learning of Action Models for Planning. Advances in Neural Information Processing Systems (NIPS-2011). PDF

William Brendel, Alan Fern, and Sinisa Todorovic.
(2011). Probabilistic Event Logic for Interval-Based Event Recognition.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2011). PDF

Ethan Dereszynski, Jesse Hostetler, Alan Fern, Tom Dietterich, T-T. Hoang, M. Udarbe. (2011). Learning Probabilistic Behavior Models in Real-time Strategy Games. Artificial Intelligence in Digital Entertainment (AIIDE-2011). PDF

 

Jervis Pinto, Alan Fern, Tim Bauer, and Martin Erwig. (2011). Improving Policy Gradient Estimates with Independence Information. Asian Conference on Machine Learning (ACML-2011). PDF

 

Joseph Selman and Alan Fern. (2011). Learning First-Order Definite Theories via Object-Based Queries. European Conference on Machine Learning (ECML-2011). PDF

 

Alan Fern, Roni Khardon, and Prasad Tadepalli. (2011). The First Learning Track of the International Planning Competition. Machine Learning, 84(1), pp. 81-107. PDF

 

Alan Fern and Paul Lewis. (2011). Ensemble Monte-Carlo Planning: An Empirical Study. International Conference on Automated Planning and Scheduling (ICAPS-2011). PDF


Tim Bauer, Martin Erwig, Alan Fern, and Jervis Pinto. (2011). Adaptation-Based Programming in Java.
ACM SIGPLAN Workshop on Partial Evaluation and Program Manipulation (PEPM-2011). PDF

Stracuzzi, D.J., Fern, A., Ali, K., Hess, R., Pinto, J., Li, N., Konik, T. and Shapiro, D. (2011). An application of transfer to American football: From observation of raw video to control in a simulated environment. AI Magazine, 32 (2). PDF preprint

 

2010


Javad Azami, Alan Fern, and Xiaoli Fern. (2010). Batch Bayesian Optimization via Simulation Matching. Advances in Neural Information Processing Systems (NIPS-2010). PDF

Alan Fern and Prasad Tadepalli. (2010). A Computational Decision Theory for Interactive Assistants. Advances in Neural Information Processing Systems (NIPS-2010). PDF
 

Kshitij Judah, Saikat Roy, Alan Fern, and Thomas Dietterich. (2010). Reinforcement Learning via Practice and Critique Advice. AAAI Conference on Artificial Intelligence (AAAI-2010). PDF


Jervis Pinto, Alan Fern, Tim Bauer, and Martin Erwig. (2010). Robust Learning for Adaptive Programs by Leveraging Program Structure. International Conference on Machine Learning Applications (ICMLA-2010). PDF

Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jiao, and Rebecca Schaller. (2010). Myopic Policies for Budgeted Optimization with Constrained Experiments. AAAI Conference on Artificial Intelligence (AAAI-2010). PDF
 

Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Bayesian Policy Search for Multi-Agent Role Discovery. AAAI Conference on Artificial Intelligence (AAAI-2010). PDF

 

Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Incorporating Domain Models into Bayesian Optimization for Reinforcement Learning. to appear in European Conference on Machine Learning (ECML-2010). PDF

 

Yuehua Xu, Alan Fern, and Sungwook Yoon. (2010). Iterative Learning of Weighted Rule Sets for Greedy Search.  International Conference on Automated Planning and Scheduling (ICAPS-2010). PDF

 

Alan Fern and Prasad Tadepalli. (2010). A Computational Decision Theory for Interactive Assistants. AAAI Workshop on Interactive Decision Theory and Game Theory. PDF
 

Aaron Wilson, Alan Fern, and Prasad Tadepalli. (2010). Bayesian Role Discovery for Multi-Agent Reinforcement Learning (extended abstract). International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010). PDF

Omar Alselah, Bechir Hamdaoui, and Alan Fern. (2010). Q-Learning for Opportunistic Spectrum Access. International Wireless Communications & Mobile Computing Conference (IWCMC-2010)

 

2009


Ronald Bjarnason, Alan Fern, and Prasad Tadepalli. (2009). Lower Bounding Klondike Solitaire with Monte-Carlo Planning. International Conference on Automated Planning and Scheduling (ICAPS-2009). PDF

Yuehua Xu, Alan Fern, and Sungwook Yoon. (2009). Learning Linear Ranking Functions for Beam Search with Application to Planning. Journal of Machine Learning Research (JMLR),10, 1349-1388. PDF
 

Radha-Krishna Balla and Alan Fern. (2009). UCT for Tactical Assault Planning in Real-Time Strategy Games. International Joint Conference on Artificial Intelligence (IJCAI-2009). PDF
 

Robin Hess and Alan Fern. (2009). Discriminatively Trained Particle Filters for Complex Multi-Object Tracking. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2009). PDF
 

Ronald Bjarnason, Prasad Tadepalli, and Alan Fern. (2009). Simulation-Based Optimization of Resource Placement and Emergency Response. Innovative Applications of Artificial Intelligence (IAAI-2009). PDF

 

Alan Fern. (2009). A Penalty-Logic Simple-Transition Model for Structured Sequences. Computational Intelligence, 25 (4), pp. 302—334. PDF

 

Sriraam Natarajan, Prasad Tadepalli, Thomas Dietterich, and Alan Fern. (2009). Learning First-Order Probabilistic Models with Combining Rules. Annals of Mathematics and Artificial Intelligence, 54(1—3), pp. 223-256. PDF

 

Yuehua Xu, Alna Fern, and Sungwook Yoon. (2009). Learning Weighted Rule Sets for Forward Search Planning. Workshop on Planning and Learning at ICAPS-2009. PDF

 

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern. (2009). On Throughput Guarantee of Aloha-Like Multi-Hop Wireless Networks. Wireless Personal Communications an International Journal, 53(1), pp. 53-66.  PDF

 

Kshitij Judah, Thomas Dietterich, Alan Fern, Jed Irvine, Michael Slater, Prasad Tadepalli, Melinda Gervasio, Christopher Ellwood, Bill Jarrold, Oliver Brdiczka, and Jim Blythe. (2009). User Initiated Learning for Adaptive Interfaces. IJCAI-09 Workshop on Intelligence and Interaction. PDF

 

2008

 

Sungwook Yoon, Alan Fern, Robert Givan, and Subbarao Kambhampati. (2008). Probabilistic Planning via Determinization in Hindsight. AAAI Conference on Artificial Intelligence (AAAI-2008). PDF
 

Scott Dejmal, Alan Fern, and Thinh Nguyen. (2008). Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks. Innovative Applications of Artificial Intelligence (IAAI-2008). PDF

Sungwook Yoon, Alan Fern, and Robert Givan. (2008). Learning Control Knowledge for Forward Search Planning. Journal of Machine Learning Research (JMLR), 9, 683-718. PDF

 

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern. (2008). Scalable Video Streaming for Single-Hop Wireless Networks using a Contention-Based Access MAC Protocol. Advances in Multimedia, 2, pp. 1—21. PDF
 

Neville Mehta, Sriraam Natarajan, Prasad Tadepalli, and Alan Fern. (2008). Transfer in Variable-Reward Hierachical Reinforcement Learning. Machine Learning Journal (MLJ), 73(3), pp. 289-312. HTML or PDF (draft)
 

Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli. (2008). Learning and Transferring Roles in Multi-Agent Reinforcement Learning. AAAI-08 Workshop on Transfer Learning for Complex Tasks. PDF

2007

 

Robin Hess, Alan Fern, Eric Mortenson. (2007). Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets. IEEE International Conference on Computer Vision (ICCV-2007). PDF

 

Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, and Chris Ventura. (2007). Online Planning for Resource Production in Real-Time Strategy Games. International Conference on Automated Planning and Scheduling (ICAPS-2007). PDF

 

Sungwook Yoon, Alan Fern, and Robert Givan. (2007). FF-Replan: A Baseline for Probabilistic Planning. International Conference on Automated Planning and Scheduling (ICAPS-2007). PDF
 

Yuehua Xu and Alan Fern. (2007). On Learning Linear Ranking Functions for Beam Search. International Conference on Machine Learning (ICML-2007). PDF
 

Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli. (2007). Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach. International Conference on Machine Learning (ICML-2007). PDF

Charles Parker, Alan Fern, and Prasad Tadepalli. (2007). Learning for Efficient Retrieval of Structured Data with Noisy Queries. International Conference on Machine Learning (ICML-2007). PDF
 

Robin Hess and Alan Fern. (2007). Toward Learning Mixture-of-Parts Pictorial Structures. ICML-2007 Workshop on Constrained Optimization and Structured Output Spaces. PDF

 

Sriraam Natarajan, Prasad Tadepalli, and Alan Fern. (2007). A Relational Hierarchical Model for Decision-Theoretic Assistance. International Conference on Inductive Logic Programming (ILP-2007). PDF

 

Robin Hess and Alan Fern. (2007). Improved Video Registration using Non-Distinctive Local Image Features. IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2007). PDF

 

Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern. (2007). Wireless Video Streaming with Collaborative Admission Control for Home Networks. International Conference on Multimedia and Expo (ICME-2007). PDF

 

Yuehua Xu, Alan Fern, and SungWook Yoon. (2007). Discriminative Learning of Beam-Search Heuristics for Planning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF

 

Guohua Hao and Alan Fern. (2007). Revisiting Output Coding for Sequential Supervised Learning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF

 

Alan Fern, Sriraam Natarajan, Kshitij Judah, and Prasad Tadepalli. (2007). A Decision-Theoretic Model of Assistance. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF

 

SungWook Yoon, Alan Fern, and Robert Givan. (2007). Using Learned Policies in Heuristic-Search Planning. International Joint Conference on Artificial Intelligence (IJCAI-2007). PDF

 

Alan Fern, Sungwook Yoon, and Robert Givan. (2007). Reinforcement Learning in Relational Domains: A Policy-Language Approach (draft). In Lise Getoor and Ben Taskar, eds. Introduction to Statistical Relational Learning. MIT Press, Cambridge, MA. PDF

 

Alan Fern. (2007). Speedup Learning. In Claude Sammut, ed. Encyclopedia of Machine Learning. Springer-Verlag, New York, NY. PDF

 

Ronald Bjarnason, Prasad Tadepalli, and Alan Fern. (2007). Searching Solitaire in Real Time. International Computer Games Association Journal, 30(3), pp. 131-142. PDF

2006

Charlie Parker, Alan Fern, and Prasad Tadepalli. (2006). Gradient Boosting for Sequence Alignment. National Conference on Artificial Intelligence (AAAI-2006). PDF

 

Sungwook Yoon, Alan Fern, and Robert Givan. (2006). Learning Heuristic Functions from Relaxed Plans. International Conference on Automated Planning and Scheduling (ICAPS-2006). PS

 

Alan Fern and Robert Givan. (2006). Sequential Inference with Reliable Observations: Learning to Construct Force-Dynamic Models. Artificial Intelligence, 170 (14-15), 1081-1122. PS

 

Alan Fern, Robert Givan, Babak Falsafi, and T. N. Vijaykumar. (2006). Dynamic Feature Selection for Hardware Prediction. Journal of Systems Architecture, 52, 4, 213-234. PDF

 

Alan Fern, Sungwook Yoon, and Robert Givan. (2006). Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes. Journal of Artificial Intelligence Research (JAIR), 25, 85-118. PDF

 

2005

Alan Fern. (2005). A Simple-Transition Model for Relational Sequences. International Joint Conference on Artificial Intelligence (IJCAI-2005). PDF

 

SungWook Yoon, Alan Fern, Robert Givan. (2005). Learning Measures of Progress for Planning Domains. National Conference on Artificial Intelligence (AAAI-2005). postscript

 

Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo Restificar. (2005). Learning First-Order Probabilistic Models with Combining Rules. International Conference on Machine Learning (ICML-2005). PDF

 

2004

 

Alan Fern. (2004). Learning Models and Formulas of a Temporal Event Logic. Purdue University Ph.D. Thesis. compressed postscript

 

Alan Fern and Robert Givan. (2004). Relational Sequential Inference with Reliable Observations. International Conference on Machine Learning (ICML-2004). postscript

 

Alan Fern, SungWook Yoon, and Robert Givan. (2004). Learning Domain-Specific Control Knowledge from Random Walks. International Conference on Automated Planning and Scheduling (ICAPS-2004). PDF

 

2003

 

Alan Fern, SungWook Yoon, and Robert Givan. (2003). Approximate Policy Iteration with a Policy Language Bias. Advances in Neural Information Processing Systems 16 (NIPS-2003). postscript

 

Alan Fern and Robert Givan. (2003). Online Ensemble Learning: An Empirical Study. Machine Learning Journal (MLJ), 53(1/2), pp. 71-109. PDF

 

2002

 

Alan Fern, Robert Givan, and Jeffrey Mark Siskind. (2002). Specific-to-General Learning for Temporal Events with Application to Video Event Recognition. Journal of Artificial Intelligence Research (JAIR), 17, 379-449. online journal

 

SungWook Yoon, Alan Fern, and Robert Givan. (2002). Inductive Policy Selection for First-Order Markov Decision Processes. Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI-2002). PDF

 

Alan Fern, Robert Givan, and Jeffrey Mark Siskind. (2002). Specific-to-General Learning for Temporal Events. Eighteenth National Conference on Artificial Intelligence (AAAI-2002). PDF

 

Alan Fern, Jeffrey Mark Siskind, and Robert Givan. (2002). Learning Temporal, Relational, Force-Dynamic Event Definitions from Video. Eighteenth National Conference on Artificial Intelligence (AAAI-2002). PDF

 

2000

 

Alan Fern and Robert Givan. (2000). Online Ensemble Learning: An Empirical Study. International Conference on Machine Learning (ICML-2000). postscript

 

1998

 

Alan Fern, Mohamad Musavi, and Jon Miranda. (1998). Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach. IEEE Transactions on Geoscience and Remote Sensing, 36(3).

 

1997

 

Alan Fern, Mohamad Musavi, and Jon Miranda. (1997). Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach. International Conference on Neural Networks (ICNN-1997).

 

Alan Fern, Jon Miranda, Mohamad Musavi, and Dan Coughlin. (1997). Pulp Digester Level Prediction Using Multiresolution Networks of Locally Active Units. International Conference on Neural Networks (ICNN-1997).

 

1995

 

Seth Wolpert, Andrew Laffely, and Alan Fern. (1995). A VLSI Circuit for Recreating Living Nerve Networks. Twenty-First IEEE Northeast Bioengineering Conference.