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» When Can Formal Methods Make a Real Difference
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ICDE
2006
IEEE
188views Database» more  ICDE 2006»
14 years 10 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
TYPES
1998
Springer
14 years 27 days ago
Proof Normalization Modulo
We define a generic notion of cut that applies to many first-order theories. We prove a generic cut elimination theorem showing that the cut elimination property holds for all theo...
Gilles Dowek, Benjamin Werner
ECML
2006
Springer
14 years 11 days ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
14 years 9 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
ICIP
2006
IEEE
14 years 10 months ago
Measuring Intra- and Inter-Observer Agreement in Identifying and Localizing Structures in Medical Images
Inter- and intra-observer variability exists in any measurements made on medical images. There are two sources of variability. The first occurs when the observers identify and loc...
Mehul P. Sampat, Zhou Wang, Mia K. Markey, Gary J....