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They make use of an algorithm that takes advantage of “ Bayesian Program Learning,” or BPL. This is when a computer creates its own additional examples after being fed data, and then ...
Stan is a free and open-source C++ program that performs Bayesian inference or optimization for arbitrary user-specified models and can be called from the command line, R, Python, Matlab, or Julia and ...
Gamalon calls the technique it employed Bayesian program synthesis. It is based on a mathematical framework named after 18 th century mathematician Thomas Bayes.
The researchers call this Bayesian Program Learning, and by showing the algorithm how a character is constructed, it then understands the different parts of each letter.
Detailed in a paper published in the journal Science the essence of Bayesian Program Learning, or BPL, is to attempt mimicry of the human learning process. Quite simply, the software will observe ...
Gamalon claims to have received the single largest investment from the U.S. Department of Defense's DARPA program, with $7.7 million in government contracts.
W. R. Gilks, A. Thomas, D. J. Spiegelhalter, A Language and Program for Complex Bayesian Modelling, Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 43, No. 1, Special Issue ...
The scientists built an algorithm with an approach called Bayesian program learning, or BPL, a probability-based program that is resilient to a certain amount of deviation.
Abstract We introduce Bayesian code diffusion, a new deep learning program optimization strategy devised to accelerate the auto-tuning process of deep ...
Gamalon uses a technique that it calls Bayesian program synthesis to build algorithms capable of learning from fewer examples. Bayesian probability, named after the 18th century mathematician ...
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