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Iterated Phantom Induction: A Knowledge-Based Approach to Learning Control.

, and . Mach. Learn., 45 (1): 45-76 (2001)

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Top-k $\varphi$ correlation computation, , , and . INFORMS Journal on Computing, 20 (4): 539--552 (2008)A Unified Framework for Evaluation Metrics in Classification Using Decision Trees., , , and . ECML, volume 2167 of Lecture Notes in Computer Science, page 503-514. Springer, (2001)Iterated Phantom Induction: A Little Knowledge Can Go a Long Way. University of Illinois Urbana-Champaign, USA, (2000)TOP-COP: Mining TOP-K Strongly Correlated Pairs in Large Databases., , and . ICDM, page 1162-1166. IEEE Computer Society, (2006)Test-based diagnosis: tree and matrix representations., , , and . Integrated Network Management, page 529-542. IEEE, (2005)Learning to Ride a Bicycle using Iterated Phantom Induction., and . ICML, page 57-66. Morgan Kaufmann, (1999)Quickly Finding Known Software Problems via Automated Symptom Matching., , , , , , , and . ICAC, page 101-110. IEEE Computer Society, (2005)Iterated Phantom Induction: A Little Knowledge Can Go a Long Way., and . AAAI/IAAI, page 665-670. AAAI Press / The MIT Press, (1998)Accuracy vs. Efficiency Trade-offs in Probabilistic Diagnosis., , and . AAAI/IAAI, page 560-566. AAAI Press / The MIT Press, (2002)Real-time problem determination in distributed systems using active probing., , , , and . NOMS (1), page 133-146. IEEE, (2004)