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Tim Oates: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Thomas Briggs, Tim Oates
    Discovering Domain-Specific Composite Kernels. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:732-738 [Conf]
  2. Paul R. Cohen, Tim Oates, Carole R. Beal, Niall M. Adams
    Contentful Mental States for Robot Baby. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2002, pp:126-131 [Conf]
  3. Pranam Kolari, Akshay Java, Tim Finin, Tim Oates, Anupam Joshi
    Detecting Spam Blogs: A Machine Learning Approach. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  4. Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman
    On the Relationship between Lexical Semantics and Syntax for the Inference of Context-Free Grammars. [Citation Graph (0, 0)][DBLP]
    AAAI, 2004, pp:431-436 [Conf]
  5. Tim Oates, Paul R. Cohen
    Searching for Planning Operators with Context-Dependent and Probabilistic Effects. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 1, 1996, pp:863-868 [Conf]
  6. Tim Oates, David Jensen
    Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 1999, pp:372-378 [Conf]
  7. Tim Oates, Matthew D. Schmill, Paul R. Cohen
    A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, 2000, pp:846-851 [Conf]
  8. Paul R. Cohen, Marc S. Atkin, Tim Oates, Carole R. Beal
    Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. [Citation Graph (0, 0)][DBLP]
    Agents, 1997, pp:170-177 [Conf]
  9. Tim Oates, Zachary Eyler-Walker, Paul R. Cohen
    Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:227-228 [Conf]
  10. Tim Oates, Matthew D. Schmill, Paul R. Cohen
    Identifying qualitatively different outcomes of actions: gaining autonomy through learning. [Citation Graph (0, 0)][DBLP]
    Agents, 2000, pp:110-111 [Conf]
  11. Gary King, Tim Oates
    The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2001, pp:236-245 [Conf]
  12. Tim Oates, Paul R. Cohen
    Toward a Plan Steering Agent: Experiments with Schedule Maintenance. [Citation Graph (0, 0)][DBLP]
    AIPS, 1994, pp:134-139 [Conf]
  13. Matthew D. Schmill, Tim Oates, Paul R. Cohen
    Learning Planning Operators in Real-World, Partially Observable Environments. [Citation Graph (0, 0)][DBLP]
    AIPS, 2000, pp:246-253 [Conf]
  14. Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
    Robot Baby 2001. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:32-56 [Conf]
  15. William Krueger, Jonathan Nilsson, Tim Oates, Timothy W. Finin
    Automatically Generated DAML Markup for Semistructured Documents. [Citation Graph (0, 0)][DBLP]
    AMKM, 2003, pp:276-287 [Conf]
  16. Paul R. Cohen, Tim Oates, Niall M. Adams, Carole R. Beal
    Robot Baby 2001. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2001, pp:29- [Conf]
  17. Tim Oates, Tom Armstrong, Justin Harris, Mark Nejman
    Leveraging Lexical Semantics to Infer Context-Free Grammars. [Citation Graph (0, 0)][DBLP]
    ECML Workshop on Learning Contex-Free Grammars, 2003, pp:65-76 [Conf]
  18. Tim Oates, Matthew D. Schmill, Paul R. Cohen
    Parallel and Distributed Search for Structure in Multivariate Time Series. [Citation Graph (0, 0)][DBLP]
    ECML, 1997, pp:191-198 [Conf]
  19. Tim Oates
    PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series. [Citation Graph (0, 0)][DBLP]
    ICDM, 2002, pp:330-337 [Conf]
  20. Tim Oates, Tom Armstrong, Leonor Becerra-Bonache, Mike Atamas
    Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time. [Citation Graph (0, 0)][DBLP]
    ICGI, 2006, pp:137-147 [Conf]
  21. Tim Oates, Brent Heeringa
    Estimating Grammar Parameters Using Bounded Memory. [Citation Graph (0, 0)][DBLP]
    ICGI, 2002, pp:185-198 [Conf]
  22. Laura Firoiu, Tim Oates, Paul R. Cohen
    Learning Deterministic Finite Automaton with a Recurrent Neural Network. [Citation Graph (0, 0)][DBLP]
    ICGI, 1998, pp:90-101 [Conf]
  23. Tim Oates, Devina Desai, Vinay Bhat
    Learning k-Reversible Context-Free Grammars from Positive Structural Examples. [Citation Graph (0, 0)][DBLP]
    ICML, 2002, pp:459-465 [Conf]
  24. Tim Oates, Paul R. Cohen
    Searching for Structure in Multiple Streams of Data. [Citation Graph (0, 0)][DBLP]
    ICML, 1996, pp:346-354 [Conf]
  25. Tim Oates, David Jensen
    The Effects of Training Set Size on Decision Tree Complexity. [Citation Graph (0, 0)][DBLP]
    ICML, 1997, pp:254-262 [Conf]
  26. David Jensen, Tim Oates, Paul R. Cohen
    Building Simple Models: A Case Study with Decision Trees. [Citation Graph (0, 0)][DBLP]
    IDA, 1997, pp:211-222 [Conf]
  27. William Krueger, Tim Oates, Tom Armstrong, Paul R. Cohen, Carole R. Beal
    Transfer in Learning by Doing. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:1618-1619 [Conf]
  28. Tim Oates, Matthew D. Schmill, Paul R. Cohen
    Efficient Mining of Statistical Dependencies. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1999, pp:794-799 [Conf]
  29. Aarti Gupta, Tim Oates
    Using Ontologies and the Web to Learn Lexical Semantics. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:1618-1623 [Conf]
  30. Tim Oates, Shailesh Doshi, Fang Huang
    Estimating Maximum Likelihood Parameters for Stochastic Context-Free Graph Grammars. [Citation Graph (0, 0)][DBLP]
    ILP, 2003, pp:281-298 [Conf]
  31. Tim Oates
    Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:322-326 [Conf]
  32. Tim Oates, David Jensen
    Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. [Citation Graph (0, 0)][DBLP]
    KDD, 1998, pp:294-298 [Conf]
  33. Foster J. Provost, David Jensen, Tim Oates
    Efficient Progressive Sampling. [Citation Graph (0, 0)][DBLP]
    KDD, 1999, pp:23-32 [Conf]
  34. Joe Catalano, Tom Armstrong, Tim Oates
    Discovering Patterns in Real-Valued Time Series. [Citation Graph (0, 0)][DBLP]
    PKDD, 2006, pp:462-469 [Conf]
  35. Marc Pickett, Tim Oates
    The Cruncher: Automatic Concept Formation Using Minimum Description Length. [Citation Graph (0, 0)][DBLP]
    SARA, 2005, pp:282-289 [Conf]
  36. Tim Oates, Laura Firoiu, Paul R. Cohen
    Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. [Citation Graph (0, 0)][DBLP]
    Sequence Learning, 2001, pp:35-52 [Conf]
  37. Sarah Finney, Peter P. Wakker, Leslie Pack Kaelbling, Tim Oates
    The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:154-161 [Conf]
  38. Vivek Tawde, Tim Oates, Eric J. Glover
    Generating Web Graphs with Embedded Communities. [Citation Graph (0, 0)][DBLP]
    WAW, 2004, pp:80-91 [Conf]
  39. Tim Oates, Vinay Bhat, Vishal Shanbhag
    Using latent semantic analysis to find different names for the same entity in free text. [Citation Graph (0, 0)][DBLP]
    WIDM, 2002, pp:31-35 [Conf]
  40. Tim Oates
    R. Siegwart and I. Nourbakhsh, Introduction to Autonomous Mobile Robots, MIT Press (2004). [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2005, v:169, n:2, pp:146-149 [Journal]
  41. Tim Oates, Waiyian Chong
    Marcus Hutter, Universal Artificial Intelligence, Springer (2004). [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2006, v:170, n:18, pp:1222-1226 [Journal]
  42. Michael L. Anderson, Thomas Barkowsky, Pauline Berry, Douglas S. Blank, Timothy Chklovski, Pedro Domingos, Marek J. Druzdzel, Christian Freksa, John Gersh, Mary Hegarty, Tze-Yun Leong, Henry Lieberman, Ric K. Lowe, Susann LuperFoy, Rada Mihalcea, Lisa Meeden, David P. Miller, Tim Oates, Robert Popp, Daniel Shapiro, Nathan Schurr, Push Singh, John Yen
    Reports on the 2005 AAAI Spring Symposium Series. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2005, v:26, n:2, pp:87-92 [Journal]
  43. Lola Cañamero, Zachary Dodds, Lloyd Greenwald, James P. Gunderson, Ayanna M. Howard, Eva Hudlicka, Cheryl E. Martin, Lynn Parker, Tim Oates, Terry R. Payne, Yan Qu, Craig Schlenoff, James G. Shanahan, Sheila Tejada, Jerry B. Weinberg, Janyce Wiebe
    The 2004 AAAI Spring Symposium Series. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2004, v:25, n:4, pp:95-100 [Journal]
  44. Vinay Bhat, Tim Oates, Vishal Shanbhag, Charles K. Nicholas
    Finding aliases on the web using latent semantic analysis. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2004, v:49, n:2, pp:129-143 [Journal]
  45. Tim Oates, M. V. Nagendra Prasad, Victor R. Lesser
    Cooperative information-gathering: a distributed problem-solving approach. [Citation Graph (0, 0)][DBLP]
    IEE Proceedings - Software, 1997, v:144, n:1, pp:72-88 [Journal]
  46. Michael L. Anderson, Tim Oates, Waiyian Chong, Donald Perlis
    The metacognitive loop I: Enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance||. [Citation Graph (0, 0)][DBLP]
    J. Exp. Theor. Artif. Intell., 2006, v:18, n:3, pp:387-411 [Journal]
  47. Marc Pickett, Tim Oates
    The Marchitecture: A Cognitive Architecture for a Robot Baby. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1896-1897 [Conf]
  48. Tom Armstrong, Tim Oates
    UNDERTOW: Multi-Level Segmentation of Real-Valued Time Series. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1842-1843 [Conf]
  49. Beenish Bhatia, Tim Oates, Yan Xiao, Peter Hu
    Real-Time Identification of Operating Room State from Video. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1761-1766 [Conf]

  50. Lexical and Grammatical Inference. [Citation Graph (, )][DBLP]

  51. Ensembles in adversarial classification for spam. [Citation Graph (, )][DBLP]

  52. Learning in the Lexical-Grammatical Interface. [Citation Graph (, )][DBLP]

  53. Which Came First, the Grammar or the Lexicon?. [Citation Graph (, )][DBLP]

  54. Estimating Graph Parameters Using Graph Grammars. [Citation Graph (, )][DBLP]

  55. Learning Deterministic Finite Automata from Interleaved Strings. [Citation Graph (, )][DBLP]

  56. A Context Driven Approach for Workflow Mining. [Citation Graph (, )][DBLP]

  57. Inferring Probability Distributions of Graph Size and Node Degree from Stochastic Graph Grammars. [Citation Graph (, )][DBLP]

  58. Learning by Reading by Learning to Read. [Citation Graph (, )][DBLP]

  59. Essential Phenomena of General Intelligence. [Citation Graph (, )][DBLP]

  60. Introduction: Special Issue on Applications of Grammatical Inference. [Citation Graph (, )][DBLP]

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