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Irina Rish: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel Frost, Irina Rish, Lluís Vila
    Summarizing CSP Hardness with Continuous Probability Distributions. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1997, pp:327-333 [Conf]
  2. Joseph L. Hellerstein, T. S. Jayram, Irina Rish
    Recognizing End-User Transactions in Performance Management. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:596-602 [Conf]
  3. Irina Rish, Mark Brodie, Sheng Ma
    Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:560-566 [Conf]
  4. Irina Rish, Rina Dechter
    To Guess or to Think? Hybrid Algorithms for SAT (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    CP, 1996, pp:555-556 [Conf]
  5. Irina Rish, Daniel Frost
    Statistical Analysis of Backtracking on Inconsistent CSPs. [Citation Graph (0, 0)][DBLP]
    CP, 1997, pp:150-162 [Conf]
  6. Aleks Jakulin, Irina Rish
    Bayesian Learning of Markov Network Structure. [Citation Graph (0, 0)][DBLP]
    ECML, 2006, pp:198-209 [Conf]
  7. Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish
    A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. [Citation Graph (0, 0)][DBLP]
    ECML, 2001, pp:503-514 [Conf]
  8. Ricardo Vilalta, Irina Rish
    A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. [Citation Graph (0, 0)][DBLP]
    ECML, 2003, pp:444-455 [Conf]
  9. Alina Beygelzimer, Geoffrey Grinstein, Ralph Linsker, Irina Rish
    Improving Network Robustness. [Citation Graph (0, 0)][DBLP]
    ICAC, 2004, pp:322-323 [Conf]
  10. Mark Brodie, Irina Rish, Sheng Ma, Natalia Odintsova
    Active Probing Strategies for Problem Diagnosis in Distributed Systems. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:1337-1338 [Conf]
  11. Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam
    Critical event prediction for proactive management in large-scale computer clusters. [Citation Graph (0, 0)][DBLP]
    KDD, 2003, pp:426-435 [Conf]
  12. Alina Beygelzimer, Irina Rish
    Inference Complexity as a Model-Selection Criterion for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    KR, 2002, pp:558-567 [Conf]
  13. Rina Dechter, Irina Rish
    Directional Resolution: The Davis-Putnam Procedure, Revisited. [Citation Graph (0, 0)][DBLP]
    KR, 1994, pp:134-145 [Conf]
  14. Alina Beygelzimer, Irina Rish
    Approximability of Probability Distributions. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  15. Alina Beygelzimer, Emre Erdogan, Sheng Ma, Irina Rish
    Statictical Models for Unequally Spaced Time Series. [Citation Graph (0, 0)][DBLP]
    SDM, 2005, pp:- [Conf]
  16. Rina Dechter, Irina Rish
    A Scheme for Approximating Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 1997, pp:132-141 [Conf]
  17. Irina Rish, Kalev Kask, Rina Dechter
    Empirical Evaluation of Approximation Algorithms for Probabilistic Decoding. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:455-463 [Conf]
  18. Mark Brodie, Irina Rish, Sheng Ma
    Intelligent probing: A cost-effective approach to fault diagnosis in computer networks. [Citation Graph (0, 0)][DBLP]
    IBM Systems Journal, 2002, v:41, n:3, pp:372-385 [Journal]
  19. Rina Dechter, Irina Rish
    Mini-buckets: A general scheme for bounded inference. [Citation Graph (0, 0)][DBLP]
    J. ACM, 2003, v:50, n:2, pp:107-153 [Journal]
  20. Irina Rish, Rina Dechter
    Resolution versus Search: Two Strategies for SAT. [Citation Graph (0, 0)][DBLP]
    J. Autom. Reasoning, 2000, v:24, n:1/2, pp:225-275 [Journal]
  21. Alina Beygelzimer, Jeffrey O. Kephart, Irina Rish
    Evaluation of Optimization Methods for Network Bottleneck Diagnosis. [Citation Graph (0, 0)][DBLP]
    ICAC, 2007, pp:20- [Conf]
  22. Irina Rish, Gerald Tesauro
    Estimating End-to-End Performance by Collaborative Prediction with Active Sampling. [Citation Graph (0, 0)][DBLP]
    Integrated Network Management, 2007, pp:294-303 [Conf]
  23. Alina Beygelzimer, Mark Brodie, Sheng Ma, Irina Rish
    Test-based diagnosis: tree and matrix representations. [Citation Graph (0, 0)][DBLP]
    Integrated Network Management, 2005, pp:529-542 [Conf]
  24. Alice X. Zheng, Irina Rish, Alina Beygelzimer
    Efficient Test Selection in Active Diagnosis via Entropy Approximation. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:675-0 [Conf]

  25. Closed-form supervised dimensionality reduction with generalized linear models. [Citation Graph (, )][DBLP]


  26. Blind source separation approach to performance diagnosis and dependency discovery. [Citation Graph (, )][DBLP]


  27. Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach. [Citation Graph (, )][DBLP]


  28. Real-time problem determination in distributed systems using active probing. [Citation Graph (, )][DBLP]


  29. Sparse Regression Models of Pain Perception. [Citation Graph (, )][DBLP]


  30. Map approach to learning sparse Gaussian Markov networks. [Citation Graph (, )][DBLP]


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