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» Evaluating algorithms that learn from data streams
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ECML
2007
Springer
15 years 8 months ago
Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Anneleen Van Assche, Hendrik Blockeel
RTCSA
2007
IEEE
15 years 10 months ago
A Continuous Query Index for Processing Queries on RFID Data Stream
RFID middleware systems collect and filter RFID streaming data gathered continuously by numerous readers to process requests from applications. These requests are called continuou...
Jaekwan Park, Bonghee Hong, ChaeHoon Ban
ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 3 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
POPL
2008
ACM
16 years 4 months ago
From dirt to shovels: fully automatic tool generation from ad hoc data
An ad hoc data source is any semistructured data source for which useful data analysis and transformation tools are not readily available. Such data must be queried, transformed a...
Kathleen Fisher, David Walker, Kenny Qili Zhu, Pet...
ICDM
2007
IEEE
124views Data Mining» more  ICDM 2007»
15 years 10 months ago
Community Learning by Graph Approximation
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
Bo Long, Xiaoyun Xu, Zhongfei (Mark) Zhang, Philip...