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A novel similarity measure for time series data with applications to gait and activity recognition
Found in: Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing - Adjunct (Ubicomp '10 Adjunct)
By Doina Precup, Jordan Frank, Shie Mannor
Issue Date:September 2010
pp. 407-408
In this abstract, we propose a novel approach to modeling time-series for the purpose of comparing segments of data in order to classify activities based on accelerometer sensor data. Our approach consists of producing an ensemble of simple classifiers tha...
     
Workshop summary: Results of the 2009 reinforcement learning competition
Found in: Proceedings of the 26th Annual International Conference on Machine Learning (ICML '09)
By Carlos Diuk, David Wingate, Jordan Frank, Lihong Li, Matthew Taylor
Issue Date:June 2009
pp. 1-1
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity of standard interior-point SDP solvers could be as high as O(n6.5). Such inte...
     
Reinforcement learning in the presence of rare events
Found in: Proceedings of the 25th international conference on Machine learning (ICML '08)
By Doina Precup, Jordan Frank, Shie Mannor
Issue Date:July 2008
pp. 336-343
We consider the task of reinforcement learning in an environment in which rare significant events occur independently of the actions selected by the controlling agent. If these events are sampled according to their natural probability of occurring, converg...
     
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