Kalman Filters and Adaptive Windows for Learning in Data Streams

We study the combination of Kalman filter and a recently proposed algorithm for dynamically maintaining a sliding window, for learning from streams of examples. We integrate this idea into two wellknown learning algorithms, the Na

• Type: Conference
• Year: 2006
• Where: DIS
• Authors: Albert Bifet, Ricard Gavaldà
• Keywords: Algorithms, DIS 2006, Kalman Filters, Sliding Windows, Theoretical Computer Science