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Searching for authors named "Anthony Brockwell" – sorted by Relevance.

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Help! 7 documents found, showing 1 through 7.
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  • AWSOM: Adaptive, Hands-Off Stream Mining  
  • by Spiros Papadimitriou, Anthony Brockwell, Christos Faloutsos
  • …Sensor devices and embedded processors are becoming ubiquitous, especially in measurement and monitoring applications. Automatic discovery of patterns and trends in the large volumes of such data is of paramount importance. The combination of relatively limited resources (CPU, memory and/or communic…
  • Cited by 20 (3 self)Add To MetaCart
  • A Gridding Method for Solving Bayesian Sequential Decision Problems  
  • by Anthony E. Brockwell, Joseph B. Kadane — 2002
  • …This paper introduces a numerical method for finding optimal or approximately optimal decision rules and corresponding expected losses in Bayesian sequential decision problems. The method, based on the classical backward induction method, constructs a grid approximation to the expected loss at each …
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  • A threshold autoregressive model for wholesale electricity prices  
  • by B. Ricky Rambharat, Anthony E. Brockwell — 2005 — Journal of the Royal Statistical Society Series C
  • …Summary. We introduce a discrete time model for electricity prices which accounts for both transitory spikes and temperature effects. The model allows for different rates of mean reversion: one for weather events, one around price jumps and another for the remainder of the process. We estimate the m…
  • Cited by 3 (0 self)Add To MetaCart
  • Adaptive, Hands-O Stream Mining  
  • by Spiros Papadimitriou Anthony, Anthony Brockwell, Christos Faloutsos — 2003 — In VLDB
  • …Sensor devices and embedded processors are becoming ubiquitous. Their limited resources (CPU, memory and/or communication bandwidth and power) pose some interesting challenges.…
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  • Storage Device Performance Prediction with CART Models  
  • by Mengzhi Wang, Kinman Au, Anastassia Ailamaki, Anthony Brockwell, Christos Faloutsos, Gregory R. Ganger — 2004
  • …Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment. This work explores the application of a machine learning tool, CART models, to storage device modeling. Our approach predicts a device's performance as a fu…
  • Cited by 14 (4 self)Add To MetaCart
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