Efficient mining of statistical dependencies

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2, Issue , 1999, Pages 794-799

  Oates, Tim ^a   Schmill, Matthew D ^a   Cohen, Paul R ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CATEGORICAL DATA; DEPENDENCY DETECTION; MULTIPLE MACHINE; MULTIVARIATE TIME SERIES; RULE STRENGTH; SEARCH PROCESS; SEARCH SPACES; STATISTICAL DEPENDENCIES;

ARTIFICIAL INTELLIGENCE;

ALGORITHMS;

EID: 0001918106     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. Li-Xin Gao, Arnold L. Rosenberg, and Ramesh K. Sitaraman. Optimal architecture-independent scheduling of fine-grain tree-sweep computations. In 7th IEEE Symposium on Parallel and Distributed Processing, pages 620-629, 1995.
3. Tim Oates and Paul R. Cohen. Learning planning operators with conditional and probabilistic effects. In Proceedings of the AAAI Spring Symposium on Planning with Incomplete Information for Robot Problems, pages 86-94,1996.
4. Tim Oates and Paul R. Cohen. Searching for planning operators with context-dependent and probabilistic effects. 1996.
5. Tim Oates and Paul R. Cohen. Searching for structure in multiple streams of data. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 346-354. Morgan Kaufmann Publishers, Inc., 1996.
6. Tim Oates, David Jensen, and Paul R. Cohen. Correlating and predicting asynchronous events. In Working Notes of the AAAI-98 workshop on Predicting the Future: AI Approaches to Time-Series Analysis, pages 73-79, 1998.
7. Thomas D. Wickens. Multiway Contingency Tables Analysis for the Social Sciences. Lawrence Erlbaum Associates, 1989. of Scientific Research