Bayesian Methods For Neural Networks - Theory and by MacKay D.J.C.

By MacKay D.J.C.

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Model predictions Variable A3 (HW) versus Temperature.

384 Omitted training data 3 2 1 0 -1 -2 0 500 1000 1500 2000 Hours 2500 3000 3500 4000 Ï❱➳➒➪✺➐✝➦❳➠❣➓❦➜☎✞❧❛④❊✝❨❭⑨✍■✾◗✪❡✪⑩ ❸☞■✾❊✝◗❙❑➾◆✯⑨Ö❫✱❊✝◗❙■❍❨ ✯✱✰✳✲✳✴✟✵✷✶✹✸ ✮✻✺✼✺✾✽ ✄✤ ✿❁❀ ✯ ❀ ❂❃❀✳❄❆❅✼❇✻❈❉❅✱❊●❋✹❍■❅❏❊ ✴✻❑▼▲ ❅ ✲ ❄ ✴✻◆▼❖✳€✾◗✳❑ Variable A3 (HW) versus Temperature. Model predictions Variable A3 (HW) versus Temperature.

384 Omitted training data 3 2 1 0 -1 -2 0 500 1000 1500 2000 Hours 2500 3000 3500 4000 Ï❱➳➒➪✺➐✝➦❳➠❣➓❦➜☎✞❧❛④❊✝❨❭⑨✍■✾◗✪❡✪⑩ ❸☞■✾❊✝◗❙❑➾◆✯⑨Ö❫✱❊✝◗❙■❍❨ ✯✱✰✳✲✳✴✟✵✷✶✹✸ ✮✻✺✼✺✾✽ ✄✤ ✿❁❀ ✯ ❀ ❂❃❀✳❄❆❅✼❇✻❈❉❅✱❊●❋✹❍■❅❏❊ ✴✻❑▼▲ ❅ ✲ ❄ ✴✻◆▼❖✳€✾◗✳❑ Variable A3 (HW) versus Temperature. Model predictions Variable A3 (HW) versus Temperature.

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