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SYNTHESE
2010
70views more  SYNTHESE 2010»
15 years 25 days ago
Models and fiction
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In...
Roman Frigg
ACSW
2004
15 years 7 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
CIARP
2007
Springer
16 years 8 days ago
Learning in Computer Vision: Some Thoughts
Abstract. It is argued that the ability to generalise is the most important characteristic of learning and that generalisation may be achieved only if pattern recognition systems l...
Maria Petrou
LPAR
2007
Springer
16 years 7 days ago
Why Would You Trust B ?
Abstract. The use of formal methods provides confidence in the correctness of developments. Yet one may argue about the actual level of confidence obtained when the method itself...
Éric Jaeger, Catherine Dubois
IBERAMIA
1998
Springer
15 years 10 months ago
The "Semantics" of Evolution: Trajectories and Trade-offs in Design Space and Niche Space
This paper 1 attempts to characterise a unifying overview of the practice of software engineers, AI designers, developers of evolutionary forms of computation, designers of adapti...
Aaron Sloman