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ICML
1998
IEEE
16 years 5 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
KDD
2009
ACM
203views Data Mining» more  KDD 2009»
16 years 5 months ago
Characterizing individual communication patterns
The increasing availability of electronic communication data, such as that arising from e-mail exchange, presents social and information scientists with new possibilities for char...
R. Dean Malmgren, Jake M. Hofman, Luis A. N. Amara...
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 5 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
SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
16 years 5 months ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...
MOBIHOC
2008
ACM
16 years 4 months ago
Localized distance-sensitive service discovery in wireless sensor networks
In this paper, we identify a new problem in wireless sensor networks, distance sensitive service discovery, where nearby or closest service selection guarantee is expected. We pro...
Xu Li, Nicola Santoro, Ivan Stojmenovic
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