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GECCO
2006
Springer
140views Optimization» more  GECCO 2006»
15 years 10 months ago
A representational ecology for learning classifier systems
The representation used by a learning algorithm introduces a bias which is more or less well-suited to any given learning problem. It is well known that, across all possible probl...
James A. R. Marshall, Tim Kovacs
ICFP
2001
ACM
16 years 6 months ago
Functioning without Closure: Type-Safe Customized Function Representations for Standard ML
The CIL compiler for core Standard ML compiles whole ML programs using a novel typed intermediate language that supports the generation of type-safe customized data representation...
Allyn Dimock, Ian Westmacott, Robert Muller, Frank...
CAD
2008
Springer
15 years 6 months ago
Structure-oriented contour representation and matching for engineering shapes
Conventional shape matching for engineering models primarily considers rigid shape similarity. They do not seek global shape similarity while considering large local deformations....
Suyu Hou, Karthik Ramani
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
16 years 26 days ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai
MM
2005
ACM
122views Multimedia» more  MM 2005»
15 years 12 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han