Joseph Bockhorst's publications:

• C. Barber, J. Bockhorst, P. Roebber (2010).
  Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting.
  to appear in NIPS 2010
• Hommel M, Elliott SR, Soma V, Kelly G, Fowkes FJ, Chesson JM, Duffy MF, Bockhorst J, Avril M, Mueller I, et. al. (2010).
  Evaluation of the antigenic diversity of placenta-binding Plasmodium falciparum variants and the antibody repertoire among pregnant women.
  Infect Immun. 2010 May.
• J. Bockhorst, C. Barber (2010).
  Gaussian Processes for Short-Horizon Wind Power Forecasting.
  in Proceedings of MAICS 2010
• J. Bockhorst, F. Lu, J. Janes, J. Keebler, B Gamain, P. Awadalla, X. Su, R. Samudrala, N. Jojic, J. Smith (2007).
  Structural Polymorphism and Diversifying Selection on the Pregnancy Malaria Vaccine Candidate VAR2CSA.
  in Molecular and Biochemical Parasitology
• J. Bockhorst and N. Jojic (2007).
  Discovering Patterns in Biological Sequences by Optimal Segmentation
  In Proceedings of the 23rd International Conference on Uncertainty in Artificial Intelligence (UAI). AUAI Press
  source code
• Y. Pan, T. Durfee, J. Bockhorst & M. Craven (2007).
  Connecting Quantitative Regulatory-Network Models to the Genome.
  In Bioinformatics (special issue: Proceedings of the 15th ISMB and 6th ECCB Conferences).
• J. Bockhorst (2005).
  Machine Learning Methods for Discovering Regulatory Elements in Bacterial Genomes
  PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
• J. Bockhorst & M. Craven (2005).
  Markov Networks for Detecting Overlapping Elements in Sequence Data
  In Advances in Neural Information Processing Systems 17 (NIPS). MIT Press
• J. Bockhorst & I. Ong (2004).
  FOILD: Efficiently Scaling FOIL for Multi-relational Data Mining of Large Datasets
  In Proceedings of the 14th International Conference on Inductive Logic Programming, Porto, Portugal. Springer.
• J. Bockhorst, Y. Qiu, J. Glasner, M. Liu, F. Blattner & M. Craven (2003).
  Predicting Bacterial Transcription Units using Sequence and Expression Data
  Bioinformatics (special issue: Proceedings of the 11th International Conference on Intelligent Systems for Molecular Biology (ISMB) ).
  
• J. Bockhorst, M. Craven, D. Page, J. Shavlik & J. Glassner (2003).
  A Bayesian Network Approach to Operon Prediction
  Bioinformatics, 19(10):1227-1235.
  
• J. Bockhorst & M. Craven (2002). 
  Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data
  Proceedings of the 19th International Conference on Machine Learning (ICML), Sydney, Australia. Morgan Kaufmann.
  
• J. Bockhorst & M. Craven (2001).
  Refining the Structure of a Stochastic Context-Free Grammar
  Proceedings of the 17th International Joint Conference on Artificial Intelligence, Seattle, WA. Morgan Kaufmann.
  
• M. Craven, D. Page, J. Shavlik, J. Bockhorst & J. Glasner (2000).
  A Probabilistic Learning Approach to Whole-Genome Operon Prediction
  Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, La Jolla, CA. AAAI Press.
  
• M. Craven, D. Page, J. Shavlik, J. Bockhorst & J. Glasner (2000).
  Using Multiple Levels of Learning and Diverse Evidence Sources to Uncover Coordinately Controlled Genes
  Proceedings of the 17th International Conference on Machine Learning, Stanford, CA. Morgan Kaufmann.