| |
 |      |
                                         |
Note: Links lead to the DBLP on the Web. Tim Oates 26 Paul R. Cohen , Tim Oates, Carole R. Beal , Niall M. Adams : Contentful Mental States for Robot Baby. AAAI/IAAI 2002 : 126-131 25 Tim Oates: PERUSE: An Unsupervised Algorithm for Finding Recurrig Patterns in Time Series. ICDM 2002 : 330-337 24 Tim Oates, Brent Heeringa : Estimating Grammar Parameters Using Bounded Memory. ICGI 2002 : 185-198 23 Tim Oates, Devina Desai , Vinay Bhat : Learning k-Reversible Context-Free Grammars from Positive Structural Examples. ICML 2002 : 459-465 22 Tim Oates, Vinay Bhat , Vishal Shanbhag : Using latent semantic analysis to find different names for the same entity in free text. WIDM 2002 : 31-35 21 Paul R. Cohen , Tim Oates, Niall M. Adams , Carole R. Beal : Robot Baby 2001. ALT 2001 : 32-56 20 Gary King , Tim Oates: The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Canadian Conference on AI 2001 : 236-245 19 Paul R. Cohen , Tim Oates, Niall M. Adams , Carole R. Beal : Robot Baby 2001. Discovery Science 2001 : 29 18 Tim Oates, Laura Firoiu , Paul R. Cohen : Using Dynamic Time Warping to Bootstrap HMM-Based Clustering of Time Series. Sequence Learning 2001 : 35-52 17 Tim Oates, Matthew D. Schmill , Paul R. Cohen : A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments. AAAI/IAAI 2000 : 846-851 16 Matthew D. Schmill , Tim Oates, Paul R. Cohen : Learning Planning Operators in Real-World, Partially Observable Environments. AIPS 2000 : 246-253 15 Tim Oates, Matthew D. Schmill , Paul R. Cohen : Identifying qualitatively different outcomes of actions: gaining autonomy through learning. Agents 2000 : 110-111 14 Tim Oates, Zachary Eyler-Walker , Paul R. Cohen : Toward natural language interfaces for robotic agents: grounding linguistic meaning in sensors. Agents 2000 : 227-228 13 Tim Oates, David Jensen : Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. AAAI/IAAI 1999 : 372-378 12 Tim Oates, Matthew D. Schmill , Paul R. Cohen : Efficient Mining of Statistical Dependencies. IJCAI 1999 : 794-799 11 Foster J. Provost , David Jensen , Tim Oates: Efficient Progressive Sampling. KDD 1999 : 23-32 10 Tim Oates: Identifying Distinctive Subsequences in Multivariate Time Series by Clustering. KDD 1999 : 322-326 9 Laura Firoiu , Tim Oates, Paul R. Cohen : Learning Deterministic Finite Automaton with a Recurrent Neural Network. ICGI 1998 : 90-101 8 Tim Oates, David Jensen : Large Datasets Lead to Overly Complex Models: An Explanation and a Solution. KDD 1998 : 294-298 7 Paul R. Cohen , Marc S. Atkin , Tim Oates, Carole R. Beal : Neo: Learning Conceptual Knowledge by Sensorimotor Interaction with an Environment. Agents 1997 : 170-177 6 Tim Oates, Matthew D. Schmill , Paul R. Cohen : Parallel and Distributed Search for Structure in Multivariate Time Series. ECML 1997 : 191-198 5 Tim Oates, David Jensen : The Effects of Training Set Size on Decision Tree Complexity. ICML 1997 : 254-262 4 David Jensen , Tim Oates, Paul R. Cohen : Building Simple Models: A Case Study with Decision Trees. IDA 1997 : 211-222 3 Tim Oates, Paul R. Cohen : Searching for Planning Operators with Context-Dependent and Probabilistic Effects. AAAI/IAAI, Vol. 1 1996 : 863-868 2 Tim Oates, Paul R. Cohen : Searching for Structure in Multiple Streams of Data. ICML 1996 : 346-354 1 Tim Oates, Paul R. Cohen : Toward a Plan Steering Agent: Experiments with Schedule Maintenance. AIPS 1994 : 134-139  DiSC'03 © 2003 Association for Computing Machinery |
