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» Measuring Complexity of Intelligent Machines
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ESSMAC
2003
Springer
15 years 3 months ago
Filtered Gaussian Processes for Learning with Large Data-Sets
Kernel-based non-parametric models have been applied widely over recent years. However, the associated computational complexity imposes limitations on the applicability of those me...
Jian Qing Shi, Roderick Murray-Smith, D. M. Titter...
CEC
2005
IEEE
15 years 3 months ago
Evolution of L-systems for compact virtual landscape generation
An L-system or Lindenmayer system consists of a grammar and an interpreter. The grammar contains an axiom, usually a short string, that the grammar expands into a long, complex st...
Daniel A. Ashlock, Stephen P. Gent, Kenneth Mark B...
CMG
2001
14 years 11 months ago
Software That Can Think and Do
Rapid advances in research and technology now allow data analysis and modeling of extremely complex systems. Methods from artificial intelligence (AI) such as Neural Networks have...
Bernard Domanski
MM
2004
ACM
151views Multimedia» more  MM 2004»
15 years 3 months ago
Multimodal concept-dependent active learning for image retrieval
It has been established that active learning is effective for learning complex, subjective query concepts for image retrieval. However, active learning has been applied in a conc...
Kingshy Goh, Edward Y. Chang, Wei-Cheng Lai
UPP
2004
Springer
15 years 3 months ago
From Prescriptive Programming of Solid-State Devices to Orchestrated Self-organisation of Informed Matter
Abstract. Achieving real-time response to complex, ambiguous, highbandwidth data is impractical with conventional programming. Only the narrow class of compressible input-output ma...
Klaus-Peter Zauner