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 Phoenix: A Self-Optimizing Chess Engine

  

Since the advent of computers, many tasks which required humans to spend a lot of time and energy have been trivialized by the computers’ ability to perform repetitive tasks extremely quickly. Playing chess is one such task. It was one of the first games which was `solved’ using AI. Wit…


 Pillar Networks++: Distributed non-parametric deep and wide networks

     

In recent work, it was shown that combining multi-kernel based support vector machines (SVMs) can lead to near state-of-the-art performance on an action recognition dataset (HMDB-51 dataset). This was 0.4% lower than frameworks that used hand-crafted features in addition to the deep convolutional f…


 Weight-based Fish School Search algorithm for Many-Objective Optimization

Optimization problems with more than one objective consist in a very attractive topic for researchers due to its applicability in real-world situations. Over the years, the research effort in Computational Intelligence area resulted in algorithms able to achieve good results by solving problems wit…