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» On the Fine Structure of Large Search Spaces
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SAINT
2005
IEEE
13 years 11 months ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
ICPR
2006
IEEE
14 years 6 months ago
Line-Based Affine Invariant Object Location Using Transformation Space Decomposition
This paper presents a novel line-based affine invariant object location methodology. Our algorithm employs a new line-based transformation space decomposition technique to exploit...
Richard Yang, Yongsheng Gao
VIS
2003
IEEE
116views Visualization» more  VIS 2003»
14 years 6 months ago
Space Efficient Fast Isosurface Extraction for Large Datasets
In this paper, we present a space efficient algorithm for speeding up isosurface extraction. Even though there exist algorithms that can achieve optimal search performance to iden...
Udeepta Bordoloi, Han-Wei Shen
IJCAI
1989
13 years 6 months ago
Preprocessing Search Spaces for Branch and Bound Search
Heuristic search procedures are useful in a large number of problems of practical importance. Such procedures operate by searching several paths in a search space at the same time...
Qiang Yang, Dana S. Nau
CEC
2009
IEEE
14 years 2 days ago
Representation and structural biases in CGP
— An evolutionary algorithm automatically discovers suitable solutions to a problem, which may lie anywhere in a large search space of candidate solutions. In the case of Genetic...
Andrew J. Payne, Susan Stepney