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Tuning an algorithm for training on unseen data
Radio Feature 35: Jurgen Schmidhuber in conversation with Sona Blessing
 
Tuesday, December 20, 2011
radio Jurgen Schmidhuber is Director of the Swiss Artificial Intelligence Lab, is Professor of Artificial Intelligence at the University of Lugano, Switzerland. Amongst his other achievements, he has published more than 250 peer-reviewed scientific papers on topics such as machine learning, financial data prediction, mathematically optimal universal Artificial Intelligence (AI), artificial curiosity and creativity, artificial recurrent neural networks, adaptive robotics, algorithmic information and complexity theory. He shares with us today his thought on AI, in the context of the alternative investment landscape...

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Tuning an algorithm for training on unseen data

Duration: 10:57 

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  • Q1 - Is it possible to tune an algorithm for training on unseen data?

    Duration: 02:26 

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  • Q2 - Trend toward simplicity? What does "simple" mean?

    Duration: 04:19 

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  • Q3 - Are simpler neural networks more robust?

    Duration: 01:19 

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  • Q4 - Constraints, challenges, developments in implementing such in the field of finance

    Duration: 01:11 

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  • Q5 - Is being faster better?

    Duration: 01:40 

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