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Milos Hauskrecht: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Milos Hauskrecht
    Incremental Methods for Computing Bounds in Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:734-739 [Conf]
  2. Branislav Kveton, Milos Hauskrecht
    Learning Basis Functions in Hybrid Domains. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier
    Solving Very Large Weakly Coupled Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1998, pp:165-172 [Conf]
  4. Milos Hauskrecht
    Dynamic Decision Making in Stochastic Partially Observable Domains: Ischemic Heart Disease Example. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:296-299 [Conf]
  5. Branislav Kveton, Milos Hauskrecht
    Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2004, pp:306-314 [Conf]
  6. Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal
    Computing Global Strategies for Multi-Market Commodity Trading. [Citation Graph (0, 0)][DBLP]
    AIPS, 2000, pp:159-166 [Conf]
  7. Daniel Mossé, Louise Comfort, Ahmed Amer, José Carlos Brustoloni, Panos K. Chrysanthis, Milos Hauskrecht, Alexandros Labrinidis, Rami G. Melhem, Kirk Pruhs
    Secure-CITI Critical Information-Technology Infrastructure. [Citation Graph (0, 0)][DBLP]
    DG.O, 2006, pp:253-254 [Conf]
  8. Milos Hauskrecht, Gopal Pandurangan, Eli Upfal
    Computing Near Optimal Strategies for Stochastic Investment Planning Problems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:1310-1315 [Conf]
  9. Branislav Kveton, Milos Hauskrecht
    An MCMC Approach to Solving Hybrid Factored MDPs. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1346-1351 [Conf]
  10. Milos Hauskrecht, Branislav Kveton
    Linear Program Approximations for Factored Continuous-State Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  11. Xinghua Lu, Milos Hauskrecht, Roger S. Day
    Modeling Cellular Processes with Variational Bayesian Cooperative Vector Quantizer. [Citation Graph (0, 0)][DBLP]
    Pacific Symposium on Biocomputing, 2004, pp:533-544 [Conf]
  12. Tomás Singliar, Milos Hauskrecht
    Variational Learning for Noisy-OR Component Analysis. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  13. Milos Hauskrecht, Eli Upfal
    A Clustering Approach to Solving Large Stochastic Matching Problems. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:219-226 [Conf]
  14. Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier
    Hierarchical Solution of Markov Decision Processes using Macro-actions. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:220-229 [Conf]
  15. Milos Hauskrecht, Tomás Singliar
    Monte-Carlo optimizations for resource allocation problems in stochastic network systems. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:305-312 [Conf]
  16. Milos Hauskrecht, Luis E. Ortiz, Ioannis Tsochantaridis, Eli Upfal
    Efficient Methods for Computing Investment Strategies for Multi-Market Commodity Trading. [Citation Graph (0, 0)][DBLP]
    Applied Artificial Intelligence, 2001, v:15, n:5, pp:429-452 [Journal]
  17. Milos Hauskrecht, Hamish S. F. Fraser
    Planning treatment of ischemic heart disease with partially observable Markov decision processes. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2000, v:18, n:3, pp:221-244 [Journal]
  18. Milos Hauskrecht
    Value-Function Approximations for Partially Observable Markov Decision Processes. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2000, v:13, n:, pp:33-94 [Journal]
  19. Tomás Singliar, Milos Hauskrecht
    Noisy-OR Component Analysis and its Application to Link Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:2189-2213 [Journal]
  20. Branislav Kveton, Milos Hauskrecht
    Solving Factored MDPs with Exponential-Family Transition Models. [Citation Graph (0, 0)][DBLP]
    ICAPS, 2006, pp:114-120 [Conf]
  21. Tomás Singliar, Milos Hauskrecht
    Modeling Highway Traffic Volumes. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:732-739 [Conf]
  22. Tomás Singliar, Milos Hauskrecht
    Learning to Detect Adverse Traffic Events from Noisily Labeled Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2007, pp:236-247 [Conf]
  23. Carlos Guestrin, Milos Hauskrecht, Branislav Kveton
    Solving Factored MDPs with Continuous and Discrete Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:235-242 [Conf]
  24. Branislav Kveton, Milos Hauskrecht, Carlos Guestrin
    Solving Factored MDPs with Hybrid State and Action Variables. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2006, v:27, n:, pp:153-201 [Journal]

  25. Latent Variable Model for Learning in Pairwise Markov Networks. [Citation Graph (, )][DBLP]

  26. Boosting KNN text classification accuracy by using supervised term weighting schemes. [Citation Graph (, )][DBLP]

  27. Distance Metric Learning for Conditional Anomaly Detection. [Citation Graph (, )][DBLP]

  28. Improving Biomedical Document Retrieval by Mining Domain Knowledge. [Citation Graph (, )][DBLP]

  29. Multivariate Time Series Classification with Temporal Abstractions. [Citation Graph (, )][DBLP]

  30. A Supervised Time Series Feature Extraction Technique Using DCT and DWT. [Citation Graph (, )][DBLP]

  31. A Concise Representation of Association Rules Using Minimal Predictive Rules. [Citation Graph (, )][DBLP]

  32. Improving biomedical document retrieval using domain knowledge. [Citation Graph (, )][DBLP]

  33. Effective query expansion with the resistance distance based term similarity metric. [Citation Graph (, )][DBLP]

  34. Partitioned Linear Programming Approximations for MDPs. [Citation Graph (, )][DBLP]

  35. Document Retrieval using a Probabilistic Knowledge Model. [Citation Graph (, )][DBLP]

  36. Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification models. [Citation Graph (, )][DBLP]

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