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» Symbols are not uniquely human
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AI
2004
Springer
15 years 3 months ago
Intrinsic Representation: Bootstrapping Symbols from Experience
If we are to understand human-level intelligence, we need to understand how meanings can be learned without explicit instruction. I take a step toward that understanding by showing...
Stephen David Larson
90
Voted
GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
14 years 11 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
HUC
2007
Springer
15 years 4 months ago
Symbolic Object Localization Through Active Sampling of Acceleration and Sound Signatures
We describe a novel method for symbolic location discovery of simple objects. The method requires no infrastructure and relies on simple sensors routinely used in sensor nodes and ...
Kai S. Kunze, Paul Lukowicz
SEMWIKI
2008
150views Data Mining» more  SEMWIKI 2008»
14 years 12 months ago
Mathematical Semantic Markup in a Wiki: The Roles of Symbols and Notations
Abstract. We present semantic markup as a way to exploit the semantics of mathematics in a wiki. Semantic markup makes mathematical knowledge machine-processable and thus allows fo...
Christoph Lange 0002
92
Voted
AAAI
1998
14 years 12 months ago
Learning to Extract Symbolic Knowledge from the World Wide Web
The World Wide Web is a vast source of information accessible to computers, but understandable only to humans. The goal of the research described here is to automatically create a...
Mark Craven, Dan DiPasquo, Dayne Freitag, Andrew M...