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» Evaluating algorithms that learn from data streams
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TON
2008
139views more  TON 2008»
15 years 6 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
SSDBM
2008
IEEE
150views Database» more  SSDBM 2008»
16 years 24 days ago
Summarizing Two-Dimensional Data with Skyline-Based Statistical Descriptors
Much real data consists of more than one dimension, such as financial transactions (eg, price × volume) and IP network flows (eg, duration × numBytes), and capture relationship...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
MOBISYS
2007
ACM
16 years 6 months ago
A time-and-value centric provenance model and architecture for medical event streams
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, a...
Min Wang, Marion Blount, John Davis, Archan Misra,...
ML
2002
ACM
154views Machine Learning» more  ML 2002»
15 years 6 months ago
Technical Update: Least-Squares Temporal Difference Learning
TD() is a popular family of algorithms for approximate policy evaluation in large MDPs. TD() works by incrementally updating the value function after each observed transition. It h...
Justin A. Boyan
PKDD
2010
Springer
212views Data Mining» more  PKDD 2010»
15 years 4 months ago
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Abstract. One solution to the lack of label problem is to exploit transfer learning, whereby one acquires knowledge from source-domains to improve the learning performance in the t...
ErHeng Zhong, Wei Fan, Qiang Yang, Olivier Versche...