Advances in Computational Intelligence: 12th International by Ignacio Rojas, Gonzalo Joya, Joan Cabestany

By Ignacio Rojas, Gonzalo Joya, Joan Cabestany

This two-volume set LNCS 7902 and 7903 constitutes the refereed court cases of the twelfth foreign Work-Conference on synthetic 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 equipment in computational intelligence, neurocomputational formulations, studying and model emulation of cognitive services, bio-inspired platforms and neuro-engineering, complicated issues in computational intelligence and functions

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While this obviously has the advantage of having immediately the weights of all models, it yields suboptimal results. The variable weights ensemble techniques try to optimize the weight of each model in the ensemble according to a criterion. Techniques such as the Genetic Algorithm [20] have been recently used for such optimization but Extreme Learning Machine: A Robust Modeling Technique? Yes! 19 are very time consuming. This presented methodology (MLE-ELM) proposes the use of a Leave-One-Out (LOO) output for each model and a Non-Negative constrained LeastSquares problem solving algorithm, leading to an efficient solution coupled with a short computation time.

But they are doing so with the same perverse idea of HumanComputer Interaction that dominates other parts of the industry. The flaw in their reasoning is obvious, but most of us are simply choosing not to consider it. Modifying a device so that it becomes less harmful to the user is a vital step in the early evolution of any tool. This is one of the reasons that our ancestors added stone handles to stone adzes. It was a technological improvement, in that it increased the length of the lever arm and made possible a series of adaptations that led to further tool specialisation, but another major part of the improvement is that a handle made it less likely for the tool user to hurt herself.

Individual human beings tend to assume that data shows a pattern - even when it doesn’t. Worse than that, we are prone to delude ourselves with false confidence about how perceptive we are. These tendencies are well-understood and it is becoming increasingly accepted that people make bad supervisors of machine-based systems, yet we persist in designing automated or semi-automated systems that require humans to process data streams rapidly and accurately. Consider the two Human Factors interventions that have greatly reduced aviation accidents: 1) Open Channels of Communication – where Captains are required to listen to the opinions of other members of the cabin crew, even if they believe that they are fully aware of all aspects of the situation, and 2) Checklists – a written record of everything that must be done and of everything that has been done, removing false-confidence and poor memory from the equation.

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