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WAIM
2004
Springer
14 years 3 months ago
Learning-Based Top-N Selection Query Evaluation over Relational Databases
A top-N selection query against a relation is to find the N tuples that satisfy the query condition the best but not necessarily completely. In this paper, we propose a new method ...
Liang Zhu, Weiyi Meng
SDM
2007
SIAM
176views Data Mining» more  SDM 2007»
13 years 11 months ago
Adaptive Concept Learning through Clustering and Aggregation of Relational Data
We introduce a new approach for Clustering and Aggregating Relational Data (CARD). We assume that data is available in a relational form, where we only have information about the ...
Hichem Frigui, Cheul Hwang
NIPS
2004
13 years 11 months ago
Surface Reconstruction using Learned Shape Models
We consider the problem of geometrical surface reconstruction from one or several images using learned shape models. While humans can effortlessly retrieve 3D shape information, t...
Jan Erik Solem, Fredrik Kahl
ENTCS
2007
119views more  ENTCS 2007»
13 years 10 months ago
Interpolant Learning and Reuse in SAT-Based Model Checking
Bounded Model Checking (BMC) is one of the most paradigmatic practical applications of Boolean Satisfiability (SAT). The utilization of SAT in model checking has allowed signifi...
João Marques-Silva
IJAMCIGI
2010
90views more  IJAMCIGI 2010»
13 years 7 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...