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X-means: Extending K-means with Efficient Estimation of the Number of Clusters.

, and . ICML, page 727-734. Morgan Kaufmann, (2000)

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Memory-based learning for control, , and . CMU-RI-TR-95-18. The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, (April 1995)Gradient Descent Reinforcement Learning, and . Advances in Neural Information Processing Systems 12, (1999)Learning for accurate classification of real-time traffic., and . CoNEXT, page 36. ACM, (2006)Synergy: blending heterogeneous measurement elements for effective network monitoring., and . CoNEXT, page 41. ACM, (2006)Experience with high-speed automated application-identification for network-management., , , and . ANCS, page 209-218. ACM, (2009)Mixtures of Rectangles: Interpretable Soft Clustering., and . ICML, page 401-408. Morgan Kaufmann, (2001)Dependency trees in sub-linear time and bounded memory., and . VLDB J., 15 (3): 250-262 (2006)Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions., , , and . ICML, page 386-394. Morgan Kaufmann, (1998)Belief state approaches to signaling alarms in surveillance systems., , and . KDD, page 539-544. ACM, (2004)Autonomous Visualization., , and . PKDD, volume 4213 of Lecture Notes in Computer Science, page 495-502. Springer, (2006)