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» Mining for the most certain predictions from dyadic data
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BMCBI
2010
224views more  BMCBI 2010»
13 years 6 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
SSDBM
1999
IEEE
118views Database» more  SSDBM 1999»
13 years 11 months ago
Evaluation of Ad Hoc OLAP: In-Place Computation
Large scale data analysis and mining activities, such as identifying interesting trends, making unusual patterns to stand out and verifying hypotheses, require sophisticated infor...
Damianos Chatziantoniou
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 4 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 7 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
14 years 7 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny