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ICMLA
2008
13 years 11 months ago
Calibrating Random Forests
When using the output of classifiers to calculate the expected utility of different alternatives in decision situations, the correctness of predicted class probabilities may be of...
Henrik Boström
JSS
2008
97views more  JSS 2008»
13 years 10 months ago
Proactive and reactive multi-dimensional histogram maintenance for selectivity estimation
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
Zhen He, Byung Suk Lee, Xiaoyang Sean Wang
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 11 months ago
Semantic Prefetching of Correlated Query Sequences
We present a system that optimizes sequences of related client requests by combining small requests into larger ones, thus reducing per-request overhead. The system predicts upcom...
Ivan T. Bowman, Kenneth Salem
SAC
2010
ACM
14 years 5 months ago
Recovering uncertain mappings through structural validation and aggregation with the MoTo system
We present an automated ontology matching methodology, supported by various machine learning techniques, as implemented in the system MoTo. The methodology is twotiered. On the ï¬...
Floriana Esposito, Nicola Fanizzi, Claudia d'Amato