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» The Cascade-Correlation Learning Architecture
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IPSN
2010
Springer
14 years 3 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
HIPEAC
2009
Springer
14 years 3 months ago
Collective Optimization
Abstract. Iterative compilation is an efficient approach to optimize programs on rapidly evolving hardware, but it is still only scarcely used in practice due to a necessity to gat...
Grigori Fursin, Olivier Temam
ICTAI
2008
IEEE
14 years 3 months ago
Information Extraction as an Ontology Population Task and Its Application to Genic Interactions
Ontologies are a well-motivated formal representation to model knowledge needed to extract and encode data from text. Yet, their tight integration with Information Extraction (IE)...
Alain-Pierre Manine, Érick Alphonse, Philip...
IROS
2007
IEEE
143views Robotics» more  IROS 2007»
14 years 3 months ago
Metrics for quantifying system performance in intelligent, fault-tolerant multi-robot teams
— Any system that has the capability to diagnose and recover from faults is considered to be a fault-tolerant system. Additionally, the quality of the incorporated fault-toleranc...
Balajee Kannan, Lynne E. Parker
GECCO
2007
Springer
182views Optimization» more  GECCO 2007»
14 years 3 months ago
Generating large-scale neural networks through discovering geometric regularities
Connectivity patterns in biological brains exhibit many repeating motifs. This repetition mirrors inherent geometric regularities in the physical world. For example, stimuli that ...
Jason Gauci, Kenneth O. Stanley