On Sun, Sep 27, 2020, 10:35 PM <[email protected]> wrote:
> Matt is there a such algorithm that benefits if you see it has accurately > predicted for the last 30 predictions, so it should again, hence you make > its next predictions more confident ? > Yes. Context models in data compressors express confidence in their predictions by giving probabilities close to 0 or 1 after many correct predictions. These get higher weights by averaging with other models after a stretching transform, ln(p)/ln(1-p). Also, mixers (neural networks) learn which models are most accurate and weight them more heavily. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T9a31de2189d7ab2a-Mea5410e040e2867377b8e251 Delivery options: https://agi.topicbox.com/groups/agi/subscription
