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    • 39687
      Citations
    1990 …2024

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    • 2011

      A Quantitative Model of Glucose Signaling in Yeast Reveals an Incoherent Feed Forward Loop Leading to a Specific, Transient Pulse of Transcription

      KuttyKrishnan, S., Sabina, J., Langton, L., Johnston, M. & Brent, M. R., 2011, Research in Computational Molecular Biology - 15th Annual International Conference, RECOMB 2011, Proceedings. Bafna, V. & Sahinalp, S. C. (eds.). Springer Verlag, p. 153 1 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6577 LNBI).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
      1 Scopus citations
    • 2009

      Constrained optimization for validation-guided conditional random field learning

      Chen, M., Chen, Y., Brent, M. R. & Tenney, A. E., 2009, KDD '09: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. p. 189-197 9 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      1 Scopus citations
    • Gradient-based feature selection for conditional random fields and its applications in computational genetics

      Chen, M., Chen, Y., Brent, M. R. & Tenney, A. E., 2009, ICTAI 2009 - 21st IEEE International Conference on Tools with Artificial Intelligence. p. 750-757 8 p. 5366367. (Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      3 Scopus citations
    • 2008

      CRF-OPT: An efficient high-quality conditional random field solver

      Chen, M., Chen, Y. & Brent, M. R., 2008, AAAI-08/IAAI-08 Proceedings - 23rd AAAI Conference on Artificial Intelligence and the 20th Innovative Applications of Artificial Intelligence Conference. p. 1018-1023 6 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      4 Scopus citations
    • 2003

      A probabilistic model for learning concatenative morphology

      Snover, M. G. & Brent, M. R., 2003, Advances in Neural Information Processing Systems 15 - Proceedings of the 2002 Conference, NIPS 2002. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      6 Scopus citations
    • 2002

      A Probabilistic Model for Learning Concatenative Morphology

      Snover, M. G. & Brent, M. R., 2002, NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems. Becker, S., Thrun, S. & Obermayer, K. (eds.). MIT Press Journals, p. 1513-1520 8 p. (NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      3 Scopus citations
    • 1996

      Lexical categorization: Fitting template grammars by incremental mdl optimization

      Brent, M. R. & Cartwright, T. A., 1996, Grammatical Inference: Learning Syntax from Sentences - 3rd International Colloquium, ICGI-1996, Proceedings. de la Higuera, C. & Miclet, L. (eds.). Springer Verlag, p. 84-94 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 1147).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review