Publications by Alan Fern

2008
  • Probabilistic Planning via Determinization in Hindsight
  • Sungwook Yoon, Alan Fern, Robert Givan, and Subbarao Kambhampati
  • to appear in AAAI Conference on Artificial Intelligence (AAAI-2008)
  • PDF
  • Reinforcement Learning for Vulnerability Assessment in Peer-to-Peer Networks
  • Scott Dejmal, Alan Fern, and Thinh Nguyen
  • to appear in Innovative Applications of Artificial Intelligence (IAAI-2008)
  • PDF
  • Learning Control Knowledge for Forward Search Planning 
  • Sungwook Yoon, Alan Fern, and Robert Givan
  • Journal of Machine Learning Research (JMLR), 9, 683-718, 2008
  • PDF
  • 2007
  • Mixture-of-Parts Pictorial Structures for Objects with Variable Part Sets
  • Robin Hess, Alan Fern, Eric Mortenson
  • IEEE International Conference on Computer Vision (ICCV-2007)
  • PDF
  • Online Planning for Resource Production in Real-Time Strategy Games
  • Hei Chan, Alan Fern, Soumya Ray, Nick Wilson, and Chris Ventura
  • International Conference on Automated Planning and Scheduling (ICAPS-2007)
  • PDF
  • FF-Replan: A Baseline for Probabilistic Planning
  • Sungwook Yoon, Alan Fern, and Robert Givan
  • International Conference on Automated Planning and Scheduling (ICAPS-2007)
  • PDF
  • On Learning Linear Ranking Functions for Beam Search
  • Yuehua Xu and Alan Fern
  • International Conference on Machine Learning (ICML-2007)
  • PDF
  • Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach
  • Aaron Wilson, Alan Fern, Soumya Ray, and Prasad Tadepalli
  • International Conference on Machine Learning (ICML-2007)
  • PDF
  • Learning for Efficient Retrieval of Structured Data with Noisy Queries
  • Charles Parker, Alan Fern, and Prasad Tadepalli
  • International Conference on Machine Learning (ICML-2007)
  • PDF
  • Toward Learning Mixture-of-Parts Pictorial Structures
  • Robin Hess and Alan Fern
  • ICML-2007 Workshop on Constrained Optimization and Structured Output Spaces
  • PDF
  • A Relational Hierarchical Model for Decision-Theoretic Assistance (draft)
  • Sriraam Natarajan, Prasad Tadepalli, and Alan Fern
  • International Conference on Inductive Logic Programming (ILP-2007)
  • PDF
  • Improved Video Registration using Non-Distinctive Local Image Features
  • Robin Hess and Alan Fern
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR-2007)
  • PDF
  • Wireless Video Streaming with Collaborative Admission Control for Home Networks
  • Monchai Lertsutthiwong, Thinh Nguyen, and Alan Fern
  • International Conference on Multimedia and Expo (ICME-2007)
  • PDF
  • Discriminative Learning of Beam-Search Heuristics for Planning
  • Yuehua Xu, Alan Fern, and SungWook Yoon
  • International Joint Conference on Artificial Intelligence (IJCAI-2007)
  • PDF

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

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

  • Using Learned Policies in Heuristic-Search Planning
  • SungWook Yoon, Alan Fern, and Robert Givan
  • International Joint Conference on Artificial Intelligence (IJCAI-2007)
  • PDF
  • 2006
  • Gradient Boosting for Sequence Alignment
  • Charlie Parker, Alan Fern, and Prasad Tadepalli
  • National Conference on Artificial Intelligence (AAAI-2006)
  • PDF

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

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

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

  • Approximate Policy Iteration with a Policy Language Bias: Solving Relational Markov Decision Processes
  • Alan Fern, Sungwook Yoon, and Robert Givan
  • Journal of Artificial Intelligence Research (JAIR), 25, 85-118, 2006
  • PDF
  • 2005
  • A Simple-Transition Model for Relational Sequences
  • Alan Fern
  • International Joint Conference on Artificial Intelligence (IJCAI-2005)
  • PDF

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

  • Learning First-Order Probabilistic Models with Combining Rules Sriraam Natarajan, Prasad Tadepalli, Eric Altendorf, Thomas G. Dietterich, Alan Fern, Angelo Restificar
  • International Conference on Machine Learning (ICML-2005)
  • PDF
  • 2004
  • Learning Models and Formulas of a Temporal Event Logic
  • Purdue University Ph.D. Thesis, August 2004
  • compressed postscript

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

  • Learning Domain-Specific Control Knowledge from Random Walks
  • Alan Fern, SungWook Yoon, and Robert Givan
  • International Conference on Automated Planning and Scheduling (ICAPS-2004)
  • postscript
  • 2003
  • Approximate Policy Iteration with a Policy Language Bias
  • Alan Fern, SungWook Yoon, and Robert Givan
  • Advances in Neural Information Processing Systems 16 (NIPS-2003)
  • postscript

  • Online Ensemble Learning: An Empirical Study
  • Alan Fern and Robert Givan
  • Machine Learning Journal (MLJ), 53(1/2), pp. 71-109, 2003
  • PDF
  • 2002
  • Specific-to-General Learning for Temporal Events with Application to Video Event Recognition
  • Alan Fern, Robert Givan, and Jeffrey Mark Siskind
  • Journal of Artificial Intelligence Research (JAIR), 17, 379-449, 2002
  • online journal

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

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

  • Learning Temporal, Relational, Force-Dynamic Event Definitions from Video
  • Alan Fern, Jeffrey Mark Siskind, and Robert Givan
  • Eighteenth National Conference on Artificial Intelligence (AAAI-2002)
  • PDF
  • 2000
  • Online Ensemble Learning: An Empirical Study
  • Alan Fern and Robert Givan
  • International Conference on Machine Learning (ICML-2000)
  • postscript
  • 1998
  • Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach
  • Alan Fern, Mohamad Musavi, and Jon Miranda
  • IEEE Transactions on Geoscience and Remote Sensing, 36(3), 1998
  • 1997
  • Automatic Extraction of Drainage Network from Digital Terrain Elevation Data: A Local Network Approach
  • Alan Fern, Mohamad Musavi, and Jon Miranda
  • International Conference on Neural Networks (ICNN-1997)

  • Pulp Digester Level Prediction Using Multiresolution Networks of Locally Active Units
  • Alan Fern, Jon Miranda, Mohamad Musavi, and Dan Coughlin
  • International Conference on Neural Networks (ICNN-1997)
  • 1995
  • A VLSI Circuit for Recreating Living Nerve Networks
  • Seth Wolpert, Andrew Laffely, and Alan Fern
  • Twenty-First IEEE Northeast Bioengineering Conference, 1995