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101
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PKDD
2010
Springer
125views Data Mining» more  PKDD 2010»
14 years 10 months ago
NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
Abstract. Pattern-based classification has demonstrated its power in recent studies, but because the cost of mining discriminative patterns as features in classification is very ex...
Hyungsul Kim, Sangkyum Kim, Tim Weninger, Jiawei H...
ISSAC
2007
Springer
111views Mathematics» more  ISSAC 2007»
15 years 6 months ago
Numerical optimization in hybrid symbolic-numeric computation
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Lihong Zhi
91
Voted
AIPS
2006
15 years 2 months ago
Structure and Problem Hardness: Goal Asymmetry and DPLL Proofs in SAT-Based Planning
In AI Planning, as well as Verification, a successful method is to compile the application into boolean satisfiability (SAT), and solve it with state-of-the-art DPLL-based procedu...
Jörg Hoffmann, Carla P. Gomes, Bart Selman
CP
2009
Springer
16 years 1 months ago
Filtering Numerical CSPs Using Well-Constrained Subsystems
When interval methods handle systems of equations over the reals, two main types of filtering/contraction algorithms are used to reduce the search space. When the system is well-co...
Ignacio Araya, Gilles Trombettoni, Bertrand Neveu
ICCS
2003
Springer
15 years 5 months ago
Mantle Convection Modeling with Viscoelastic/Brittle Lithosphere: Numerical and Computational Methodology
The Earth’s tectonic plates are strong, viscoelastic shells which make up the outermost part of a thermally convecting, predominantly viscous layer; at the boundaries between pla...
Louis Moresi, David May, Justin Freeman, Bill F. A...