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» Data Aggregation Sets in Adaptive Data Model
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151
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KDD
2002
ACM
136views Data Mining» more  KDD 2002»
16 years 4 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
138
Voted
AMW
2009
15 years 5 months ago
Consistent Query Answering in Data Warehouses
Abstract. A Data Warehouse (DW) is a data repository that organizes and physically integrates data from multiple sources under special kinds of schemas. A DW is composed by a set o...
Leopoldo E. Bertossi, Loreto Bravo, Mónica ...
PR
2006
87views more  PR 2006»
15 years 4 months ago
Prototype reduction schemes applicable for non-stationary data sets
All of the prototype reduction schemes (PRS) which have been reported in the literature, process time-invariant data to yield a subset of prototypes that are useful in nearest-nei...
Sang-Woon Kim, B. John Oommen
ICASSP
2011
IEEE
14 years 8 months ago
A sampling-based environment population projection approach for rapid acoustic model adaptation
We propose an environment population projection (EPP) approach for rapid acoustic model adaptation to reduce environment mismatches with limited amounts of adaptation data. This a...
Yu Tsao, Shigeki Matsuda, Shinsuke Sakai, Ryosuke ...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 5 months ago
Informative sampling for large unbalanced data sets
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...