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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
VLDB
2006
ACM
190views Database» more  VLDB 2006»
16 years 6 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
TSP
2011
96views more  TSP 2011»
15 years 27 days ago
A Signal Processing Approach to Fourier Analysis of Ranking Data: The Importance of Phase
—Ranking data is a type of data obtained in some elections, in customer surveys, as well as from web search results. Such data may be considered as a type of signal defined on t...
Ramakrishna Kakarala
CIKM
2006
Springer
15 years 8 months ago
Processing relaxed skylines in PDMS using distributed data summaries
Peer Data Management Systems (PDMS) are a natural extension of heterogeneous database systems. One of the main tasks in such systems is efficient query processing. Insisting on co...
Katja Hose, Christian Lemke, Kai-Uwe Sattler
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
16 years 3 months ago
Time-Decayed Correlated Aggregates over Data Streams.
Data stream analysis frequently relies on identifying correlations and posing conditional queries on the data after it has been seen. Correlated aggregates form an important examp...
Graham Cormode, Srikanta Tirthapura, Bojian Xu