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139
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SIGIR
2008
ACM
15 years 4 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
IEEEPACT
1998
IEEE
15 years 8 months ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
EWCBR
2004
Springer
15 years 10 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in different areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
ESWS
2008
Springer
15 years 6 months ago
Two Variations on Ontology Alignment Evaluation: Methodological Issues
Evaluation of ontology alignments is in practice done in two ways: (1) assessing individual correspondences and (2) comparing the alignment to a reference alignment. However, this ...
Laura Hollink, Mark van Assem, Shenghui Wang, Anto...
138
Voted
JCIT
2008
129views more  JCIT 2008»
15 years 4 months ago
A New Rule Scheduling Approach based on Estimation of Rule Execution Probability in Active Database
Active database systems (ADBS) can, automatically, react to the occurrence of predefined events by definition a collection of active rules. One of the most important modules of AD...
Abbas Rasoolzadegan, Rohollah Alesheykh, Ahmad Abd...