By Ignacio Rojas, Gonzalo Joya, Joan Cabestany
This two-volume set LNCS 7902 and 7903 constitutes the refereed complaints of the twelfth overseas Work-Conference on man made Neural Networks, IWANN 2013, held in Puerto de los angeles Cruz, Tenerife, Spain, in June 2013. The 116 revised papers have been rigorously reviewed and chosen from various submissions for presentation in volumes. The papers discover sections on mathematical and theoretical tools in computational intelligence, neurocomputational formulations, studying and model emulation of cognitive services, bio-inspired platforms and neuro-engineering, complicated themes in computational intelligence and functions
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Additional resources for Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings, Part 1
To start with, there is a radio channel dedicated to constant contact with any flight in the air. This channel is supposed to be open at all times, in case there is some reason that the plane must be contacted. It is intended solely for important communication, but that is not how it is used. It is an open secret of the Airline industry and their monitoring agencies in North America that, since this channel receives a lot of unnecessary chatter, and since that chatter is distracting, many pilots turn the volume so far down as to make it silent.
The set of selected variables grows until none remain to be chosen (please refer to the original paper  for the computationally eﬃcient implementation proposed by the authors). By enforcing a restriction on the sign of the weights (which has to be the same as that of the current direction of the correlation), the LARS algorithm thus implements Lasso eﬀectively. The authors claim an order of magnitude greater speed than the classical quadratic programming problem, using their algorithm. e. there are more variables than samples, the Lasso selects at most n variables ; 24 A.
These are just two of my own attempts at improving the computer’s ability to communicate with humans in a manner less similar to two machines exchanging spools of data and more similar to the rich interaction between our proto-prosimian, prosimian and simian protagonists and their environments. Using these systems, I detect rich information from the periphery of my awareness and decide whether or not to focus on it. The system, you see, has put the information there in a manner that allows me this discerning behavior; this freedom to interact at my own discretion.
Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings, Part 1 by Ignacio Rojas, Gonzalo Joya, Joan Cabestany