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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 7 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
DAGSTUHL
2009
15 years 7 months ago
Learning Highly Structured Manifolds: Harnessing the Power of SOMs
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
Erzsébet Merényi, Kadim Tasdemir, Li...
DEXAW
2004
IEEE
170views Database» more  DEXAW 2004»
15 years 10 months ago
On-Line Analytical Processing on Large Databases Managed by Computational Grids
Management of large data repositories integrated into the Grid poses new challenges for Grid research. There already exist several successful Data Grid projects addressing process...
Bernhard Fiser, Umut Onan, Ibrahim Elsayed, Peter ...
IPPS
2005
IEEE
16 years 6 days ago
Characterizing Secure Dynamic Web Applications Scalability
Security in the access to web contents and the interaction with web sites is becoming one of the most important issues in Internet. Servers need to provide certain levels of secur...
Jordi Guitart, Vicenç Beltran, David Carrer...
ATAL
2006
Springer
15 years 10 months ago
Learning empathy: a data-driven framework for modeling empathetic companion agents
Affective reasoning plays an increasingly important role in cognitive accounts of social interaction. Humans continuously assess one another's situational context, modify the...
Scott W. McQuiggan, James C. Lester