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» Evaluating algorithms that learn from data streams
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NOMS
2010
IEEE
136views Communications» more  NOMS 2010»
15 years 4 months ago
Supporting System-wide Similarity Queries for networked system management
Abstract— Today’s networked systems are extensively instrumented for collecting a wealth of monitoring data. In this paper, we propose a framework called System-wide Similarity...
Songyun Duan, Hui Zhang 0002, Guofei Jiang, Xiaoqi...
ATAL
2007
Springer
15 years 10 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
ICML
2008
IEEE
16 years 7 months ago
Reinforcement learning in the presence of rare events
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 ev...
Jordan Frank, Shie Mannor, Doina Precup
ICDM
2006
IEEE
137views Data Mining» more  ICDM 2006»
16 years 16 days ago
Mining Complex Time-Series Data by Learning Markovian Models
In this paper, we propose a novel and general approach for time-series data mining. As an alternative to traditional ways of designing specific algorithm to mine certain kind of ...
Yi Wang, Lizhu Zhou, Jianhua Feng, Jianyong Wang, ...
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
15 years 5 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou