t trt s - PowerPoint PPT Presentation

■♥tr♦❞✉❝t✐♦♥ ▼♦❞❡❧✐♥❣ t✐♠❡ s❡r✐❡s ♦❢ ✐♥✢✉❡♥③❛ ❞❛t❛ ❋❧✉❞❡t✇❡❜ ❈♦♥❝❧✉s✐♦♥s ❋❧✉❉❡t❲❡❜ ✿ ❛♥ ✐♥t❡r❛❝t✐✈❡ ✇❡❜✲❜❛s❡❞ s②st❡♠ ❢♦r t❤❡ ❡❛r❧② ❞❡t❡❝t✐♦♥ ♦❢ t❤❡ ♦♥s❡t ♦❢ ✐♥✢✉❡♥③❛ ❡♣✐❞❡♠✐❝s✳ ❉❛✈✐❞ ❱✳ ❈♦♥❡s❛ ●✉✐❧❧é♥ ●r✉♣ ❞✬❊st❛❞íst✐❝❛ ❊s♣❛❝✐❛❧ ✐ ❚❡♠♣♦r❛❧ ❡♥ ❊♣✐❞❡♠✐♦❧♦❣✐❛ ✐ ▼❡❞✐ ❆♠❜✐❡♥t ❯♥✐✈❡rs✐t❛t ❞❡ ❱❛❧è♥❝✐❛ ❥♦✐♥t ✇♦r❦ ✇✐t❤ ❆✳ ▲ó♣❡③✲◗✉í❧❡③✱ ▼✳❆✳ ▼❛rtí♥❡③✲❇❡♥❡✐t♦ ❛♥❞ ❋✳ ❱❡r❞❡❥♦ ❉❛✈✐❞ ❈♦♥❡s❛✱ ●❊ ❡ ✐ t • ❊ · ♠❛ ✭❯❱✮ ❯s❡❘✿ ❋❧✉❉❡t❲❡❜ ✶ ✴ ✷✶

■♥tr♦❞✉❝t✐♦♥ ▼♦❞❡❧✐♥❣ t✐♠❡ s❡r✐❡s ♦❢ ✐♥✢✉❡♥③❛ ❞❛t❛ ❋❧✉❞❡t✇❡❜ ❈♦♥❝❧✉s✐♦♥s ✶ ■♥tr♦❞✉❝t✐♦♥ ❉❛✈✐❞ ❈♦♥❡s❛✱ ●❊ ❡ ✐ t • ❊ · ♠❛ ✭❯❱✮ ❯s❡❘✿ ❋❧✉❉❡t❲❡❜ ✷ ✴ ✷✶

■♥tr♦❞✉❝t✐♦♥ ▼♦❞❡❧✐♥❣ t✐♠❡ s❡r✐❡s ♦❢ ✐♥✢✉❡♥③❛ ❞❛t❛ ❋❧✉❞❡t✇❡❜ ❈♦♥❝❧✉s✐♦♥s ■♥tr♦❞✉❝t✐♦♥ ❙✉r✈❡✐❧❧❛♥❝❡ s②st❡♠s ❤❛✈❡ ❜❡❝♦♠❡ ✐♥❝r❡❛s✐♥❣❧② ✐♠♣♦rt❛♥t ❞✉❡ t♦ ♥❡✇ ❝❤❛❧❧❡♥❣✐♥❣ ♣✉❜❧✐❝ ❤❡❛❧t❤ ✐ss✉❡s✳ ❊❛r❧② ❞❡t❡❝t✐♦♥ ♦❢ t❤❡ ♦♥s❡t ♦❢ ❛ ❞✐s❡❛s❡ ♦✉t❜r❡❛❦ ✐s ♦♥❡ ♦❢ t❤❡ ♠♦st ❝❤❛❧❧❡♥❣✐♥❣ ♦❜❥❡❝t✐✈❡s ♦❢ ❡♣✐❞❡♠✐♦❧♦❣✐❝❛❧ s✉r✈❡✐❧❧❛♥❝❡ s②st❡♠s✳ ❉❡t❡❝t✐♥❣ t❤❡ ♦♥s❡t ♦❢ ❛♥ ♦✉t❜r❡❛❦ ❛s s♦♦♥ ❛s ♣♦ss✐❜❧❡ ✇♦✉❧❞ ✐♠♣❧② t✐♠❡❧② ✐♥t❡r✈❡♥t✐♦♥s ✇❤✐❝❤ ❝♦✉❧❞ s✉♣♣♦s❡ ❛ ❣r❡❛t ✐♠♣❛❝t ♦♥ t❤❡ ♥✉♠❜❡r ♦❢ ❧✐✈❡s s❛✈❡❞✳ ❆♠♦♥❣ ♦t❤❡r ❞✐s❡❛s❡s✱ ✐♥✢✉❡♥③❛ ✐s ♦❢ s♣❡❝✐❛❧ ✐♥t❡r❡st✿ ■♥✢✉❡♥③❛ ❡♣✐❞❡♠✐❝s ♦❝❝✉r ✈✐rt✉❛❧❧② ❡✈❡r② ②❡❛r ❛♥❞ r❡s✉❧t ✐♥ s✉❜st❛♥t✐❛❧ ❞✐s❡❛s❡✱ ❞❡❛t❤ ❛♥❞ ❡①♣❡♥s❡✳ ❉❛✈✐❞ ❈♦♥❡s❛✱ ●❊ ❡ ✐ t • ❊ · ♠❛ ✭❯❱✮ ❯s❡❘✿ ❋❧✉❉❡t❲❡❜ ✸ ✴ ✷✶

■♥tr♦❞✉❝t✐♦♥ ▼♦❞❡❧✐♥❣ t✐♠❡ s❡r✐❡s ♦❢ ✐♥✢✉❡♥③❛ ❞❛t❛ ❋❧✉❞❡t✇❡❜ ❈♦♥❝❧✉s✐♦♥s ❙❡✈❡r❛❧ s✉r✈❡✐❧❧❛♥❝❡ ♠❡t❤♦❞s t♦ tr❛❝❦ ✐♥✢✉❡♥③❛ ✈✐r✉s ❛❝t✐✈✐t②✿ r❡❛❧✲t✐♠❡ ✐♥t❡r♥❡t s✉r✈❡②✱ ♦✈❡r t❤❡ ❝♦✉♥t s❛❧❡s✱ ♣r❡s❝r✐♣t✐♦♥ ♣❤❛r♠❛❝❡✉t✐❝❛❧ s❛❧❡s✱ ❛❜s❡♥t❡❡✐s♠✱ s②♥❞r♦♠✐❝✴s❡♥t✐♥❡❧ s✉r✈❡✐❧❧❛♥❝❡✱ ❧❛❜♦r❛t♦r② t❡st ♦r❞❡rs✱ ❤♦s♣✐t❛❧ ❛❞♠✐ss✐♦♥ s✉r✈❡✐❧❧❛♥❝❡✱ ❡♠❡r❣❡♥❝② r♦♦♠s ✈✐s✐ts✱ ♣♥❡✉♠♦♥✐❛ ❛♥❞ ✐♥✢✉❡♥③❛ ♠♦rt❛❧✐t②✱ ❡t❝✳ ❚❤❡r❡ ✐s ♥♦ s✉❝❤ t❤✐♥❣ ❛s t❤❡ ❜❡st ♠❡t❤♦❞ ✳✳✳ ✳✳✳ ✏❡❛❝❤ ♠❡t❤♦❞ ♦♥❧② ❝❛♣t✉r❡s ❛ ♣♦rt✐♦♥ ♦❢ ✐♥❢❡❝t✐♦♥s ✇✐t❤✐♥ t❤❡ ❝♦♠♠✉♥✐t② ✇✐t❤ ❞✐✛❡r❡♥t t✐♠❡❧✐♥❡ss ❛♥❞ s♣❡❝✐✜❝✐t②✑✳ ❉❛✈✐❞ ❈♦♥❡s❛✱ ●❊ ❡ ✐ t • ❊ · ♠❛ ✭❯❱✮ ❯s❡❘✿ ❋❧✉❉❡t❲❡❜ ✹ ✴ ✷✶

t trt s - PowerPoint PPT Presentation

trt t srs t t ss t trt

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t trt s - PowerPoint PPT Presentation

trt t srs t t ss t trt

Probabilistische graphische Modelle mit Scala Andreas Bille rcs systems GmbH Ab 1500 G.

Workshop 5: Introduction to Bayesian models Murray Logan April 9, 2016 Table of contents 0.1.

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Probabilistic Programming or Revd. Bayes meets Countess Lovelace John Winn, Microsoft Research

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Data Pipeline Selection and Optimization DOLAP 2019 Alexandre Quemy IBM IBM, , Da Data ta an

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A CLT for Wishart Tensors Dan Mikulincer Weizmann Institute of Science 1 Wishart Tensors Let {

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