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» Comparative Evaluation of Approaches to Propositionalization
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IJON
2006
111views more  IJON 2006»
15 years 6 months ago
Applications of multi-objective structure optimization
We present an application of multi-objective evolutionary optimization of feed-forward neural networks (NN) to two real world problems, car and face classification. The possibly co...
Alexander Gepperth, Stefan Roth
IJPRAI
2006
114views more  IJPRAI 2006»
15 years 6 months ago
Selective Voting - Getting More for Less in Sensor Fusion
Many real life problems are characterized by the structure of data derived from multiple sensors. The sensors may be independent, yet their information considers the same entities...
Lior Rokach, Oded Maimon, Reuven Arbel
NPL
2006
90views more  NPL 2006»
15 years 6 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
SIGPRO
2008
201views more  SIGPRO 2008»
15 years 6 months ago
Multichannel blind seismic deconvolution using dynamic programming
In this paper, we present an algorithm for multichannel blind deconvolution of seismic signals, which exploits lateral continuity of earth layers by dynamic programming approach. ...
Alon Heimer, Israel Cohen
IJRFITA
2007
114views more  IJRFITA 2007»
15 years 6 months ago
Semi-passive RFID and beyond: steps towards automated quality tracing in the food chain
: Precise temperature monitoring is the major precondition to supervise quality losses within the transport chain for fresh products. Different types of miniaturised data loggers w...
Reiner Jedermann, Walter Lang