trrss t - PowerPoint PPT Presentation

■♥tr♦❣r❡ss✐♦♥ ♦❢ ❛ ❜❧♦❝❦ ♦❢ ❣❡♥♦♠❡ ✇✐t❤ ♠❛♥② ✇❡❛❦❧② s❡❧❡❝t❡❞ ✈❛r✐❛♥ts ❍✐♠❛♥✐ ❙❛❝❤❞❡✈❛ ■❙❚ ❆✉str✐❛ ❙❛❝❤❞❡✈❛ ❛♥❞ ❇❛rt♦♥✱ ■♥tr♦❣r❡ss✐♦♥ ♦❢ ❛ ❜❧♦❝❦ ♦❢ ❣❡♥♦♠❡ ✉♥❞❡r ✐♥✜♥✐t❡s✐♠❛❧ s❡❧❡❝t✐♦♥ ✱ ●❡♥❡t✐❝s ✭✷✵✶✽✮✳ ❙❛❝❤❞❡✈❛ ❛♥❞ ❇❛rt♦♥✱ ❘❡♣❧✐❝❛❜✐❧✐t② ♦❢ ✐♥tr♦❣r❡ss✐♦♥ ✉♥❞❡r ❧✐♥❦❡❞✱ ♣♦❧②❣❡♥✐❝ s❡❧❡❝t✐♦♥ ✱ ●❡♥❡t✐❝s ✭✷✵✶✽✮✳ ✶ ✴ ✶✷

▼♦st tr❛✐ts ❛r❡ ❤✐❣❤❧② ♣♦❧②❣❡♥✐❝ ❋r♦♠✿ ❨❛♥❣ ❡t ❛❧✱ ◆❛t✉r❡ ❘❡✈ ●❡♥❡t✱ ✷✵✶✶ O ( ✶✵ ✺ ) ❝♦♠♠♦♥ ❙◆Ps → ❝❛✉s❛❧ ❡✛❡❝ts ♦♥ ❤❡✐❣❤t✳ ❬❇♦②❧❡ ❡t ❛❧✱ ✷✵✶✼❪ ✐♥✜♥✐t❡s✐♠❛❧ ♠♦❞❡❧ ✇✐t❤ ❧✐♥❦❛❣❡ ✳ ✷ ✴ ✶✷

② ❖ ② ❖ P ③ ❖ ② P ③ P ❱ ✵ ② ❖ ✶ ✳ ② P ❬❘♦❜❡rts♦♥✱ ✶✾✼✼❪ ❱ ✵ ❤❡t❡r♦❣❡♥❡✐t② ❛❧♦♥❣ t❤❡ ❣❡♥♦♠❡✳ ■♥✜♥✐t❡s✐♠❛❧ ♠♦❞❡❧ ✇✐t❤ ❧✐♥❦❛❣❡ ■♥❤❡r✐t❛♥❝❡ ♦❢ ❜❧♦❝❦s ♦❢ ❣❡♥♦♠❡✿ y P �� z P �� z O �� y O ✸ ✴ ✶✷

■♥✜♥✐t❡s✐♠❛❧ ♠♦❞❡❧ ✇✐t❤ ❧✐♥❦❛❣❡ ■♥❤❡r✐t❛♥❝❡ ♦❢ ❜❧♦❝❦s ♦❢ ❣❡♥♦♠❡✿ y P �� z P �� z O �� y O � � �� ② ❖ ✶ − ② ❖ P ( ③ ❖ ) = N ② P ③ P , ❱ ✵ ② ❖ ✳ ② P ❬❘♦❜❡rts♦♥✱ ✶✾✼✼❪ ❱ ✵ ≈ ❤❡t❡r♦❣❡♥❡✐t② ❛❧♦♥❣ t❤❡ ❣❡♥♦♠❡✳ ✸ ✴ ✶✷

❆♣♣r♦❛❝❤✐♥❣ t❤❡ ✐♥✜♥✐t❡s✐♠❛❧ ❧✐♠✐t ✈❛r✐❛♥❝❡ σ ✷ r ▲ ❧♦❝✐ ✭✉♥❝♦rr❡❧❛t❡❞ ❡✛❡❝ts✮ s♣r❡❛❞ ✉♥✐❢♦r♠❧②✳ infinitesimal limit ❱ ✵ = σ ✷ / r → ❣❡♥✐❝ ✈❛r✐❛♥❝❡ ♣❡r ✉♥✐t ♠❛♣ ❧❡♥❣t❤ ❲❤❡♥ ❝❛♥ s❡❧❡❝t✐♦♥ ❵s❡❡✬ ❞✐s❝r❡t❡ ❧♦❝✐❄ ✹ ✴ ✶✷

❙♣r❡❛❞ ♦❢ ❛ ❣❡♥♦♠❡ ✇✐t❤ ❧✐♥❦❡❞✱ ✇❡❛❦❧② s❡❧❡❝t❡❞ ✈❛r✐❛♥ts NATIVE INTRODUCED (trait value 0) NATIVE ✜t♥❡ss ∝ ❡ β ③ ◆❖ ♥❡✇ ♠✉t❛t✐♦♥s ■♥tr♦❣r❡ss✐♦♥ ❞✉❡ t♦ ✇❡❛❦❧② s❡❧❡❝t❡❞✱ ❧✐♥❦❡❞ ❧♦❝✐ ✈s✳ ♥❡✉tr❛❧ ✐♥tr♦❣r❡ss✐♦♥❄ ❲❤❛t ❞❡t❡r♠✐♥❡s ❵s✉❝❝❡ss✬ ♦❢ ❞✐✛❡r❡♥t ❢r❛❣♠❡♥ts ♦❢ ❛ ❜❧♦❝❦❄ ✺ ✴ ✶✷

■♥✐t✐❛❧ s♣r❡❛❞ ♦❢ ✐♥tr♦❞✉❝❡❞ ❣❡♥♦♠❡✿ s♥❛♣s❤♦ts ▼♦❞❡❧ ❛s ❛ ❜r❛♥❝❤✐♥❣ ♣r♦❝❡ss ✿ ❛t ♠♦st ✶ ✐♥tr♦❞✉❝❡❞ ❢r❛❣♠❡♥t ♣❡r ✐♥❞✐✈✐❞✉❛❧ 0.1 0.1 35 90 0 β √ V 0 = 0 . 1 0 t=80 individuals individuals β √ V 0 = 0 . 1 trait value trait value − → -0.1 t=20 45 15 -0.2 -0.1 -0.3 0 0 -0.2 0 0.125 0.25 0 0.125 0.25 map position map position ✻ ✴ ✶✷

■♥✐t✐❛❧ s♣r❡❛❞ ♦❢ ✐♥tr♦❞✉❝❡❞ ❣❡♥♦♠❡✿ s♥❛♣s❤♦ts ▼♦❞❡❧ ❛s ❛ ❜r❛♥❝❤✐♥❣ ♣r♦❝❡ss ✿ ❛t ♠♦st ✶ ✐♥tr♦❞✉❝❡❞ ❢r❛❣♠❡♥t ♣❡r ✐♥❞✐✈✐❞✉❛❧ 0.1 0.1 35 90 0 β √ V 0 = 0 . 1 0 t=80 individuals individuals β √ V 0 = 0 . 1 trait value trait value − → -0.1 t=20 45 15 -0.2 -0.1 -0.3 0 0 -0.2 0 0.125 0.25 0 0.125 0.25 map position map position 40 β √ V 0 = 0 . 1 700 t=80 β √ V 0 = 0 . 1 0.4 0.4 t=20 individuals individuals trait value trait value 0.2 − → 0.2 20 350 0 0 0 -0.2 0 -0.2 0 0.125 0.25 0 0.125 0.25 map position map position ✻ ✴ ✶✷

❘❛t❡ ♦❢ ✐♥tr♦❣r❡ss✐♦♥ β √ V 0 = 0 . 2 10 4 Average number of surviving blocks β √ V 0 = 0 . 1 β √ V 0 = 0 . 05 β √ V 0 = 0 . 0 100 y 0 = 0 . 25 z 0 = 0 1 0 20 40 60 80 100 time t ❊①♣♦♥❡♥t✐❛❧❧② ❢❛st ✈s✳ ∼ t s♣r❡❛❞ ? ❲❡❛❦❧② s❡❧❡❝t❡❞ ✈❛r✐❛♥ts ≈ ♥❡✉tr❛❧ ✈❛r✐❛♥ts❄ ◆♦t ✐❢ ❧✐♥❦❡❞ ✼ ✴ ✶✷

▼❡❞✐✉♠✲s✐③❡❞ ❢r❛❣♠❡♥ts ❞r✐✈❡ ❡①♣♦♥❡♥t✐❛❧ ✐♥tr♦❣r❡ss✐♦♥ ❋r❛❣♠❡♥t ✇✐t❤ ♠❛♣ ❧❡♥❣t❤ ② ∗ ❛♥❞ tr❛✐t ✈❛❧✉❡ ③ ∗ ✿ ❚②♣✐❝❛❧ ③ ∗ ∼ ±√ ❱ ✵ ② ∗ ✱ ❛ss✉♠✐♥❣ ✉♥❝♦rr❡❧❛t❡❞ ❧♦❝✐✳ β ③ ∗ > ② ∗ = ⇒ s✉❝❝❡ss❢✉❧ ❢r❛❣♠❡♥t t❤❛t ✐♥❝r❡❛s❡s ✐♥t❛❝t ❡①♣♦♥❡♥t✐❛❧❧②✳ ❙✉❝❝❡ss❢✉❧ ❢r❛❣♠❡♥ts✿ t②♣✐❝❛❧ ♠❛♣ ❧❡♥❣t❤ ❛♥❞ ❣r♦✇t❤ r❛t❡ ∝ β ✷ ❱ ✵ ✳ β → str❡♥❣t❤ ♦❢ s❡❧❡❝t✐♦♥ ♦♥ tr❛✐t❀ ❱ ✵ = σ ✷ / r → ✈❛r✐❛♥❝❡ ♣❡r ✉♥✐t ♠❛♣ ❧❡♥❣t❤ ✽ ✴ ✶✷

■♥tr♦❣r❡ss✐♦♥ ♦❢ ✐♥❞✐✈✐❞✉❛❧ ✈❛r✐❛♥ts✿ ✐♥✐t✐❛❧ ✈s✳ ❧♦♥❣✲t❡r♠ ✽✵ ❝♦♣✐❡s ♦❢ ✹✵ ❝▼ ❜❧♦❝❦ ✇✐t❤ ✷✵✹✽ ❧♦❝✐ ✭ βσ = ✵ . ✵✵✵✼✮ ✐♥tr♦❞✉❝❡❞ ✐♥t♦ ♣♦♣✉❧❛t✐♦♥ ✭ ◆ = ✹✵✵✵✮✳ ❆♥❛❧②t✐❝❛❧ s♦❧✉t✐♦♥ ❢♦r s❤♦rt✲t❡r♠ ❞②♥❛♠✐❝s ↓ ❊①♣❡❝t❡❞ ❣r♦✇t❤ r❛t❡ ♦❢ ✈❛r✐❛♥t ≈ β ③ − ② ❢♦r ❢❛st❡st✲❣r♦✇✐♥❣ ❝♦♥t❛✐♥✐♥❣ ❢r❛❣♠❡♥t✳ ✾ ✴ ✶✷

trrss t - PowerPoint PPT Presentation

trrss t st rts str

1 4 : 3 5 P M 1 5 : 1 0 P M C r y p Te n : A M L f r a m e w o r k b a s e d o n s e c

1 What Do Linkers Do? (cont) What Do Linkers Do? Step 2: Relocation Step 1: Symbol

compsci 514: algorithms for data science Cameron Musco University of Massachusetts Amherst. Fall

Methods in Python Introducing: Methods class ClassName: A method is a special kind of

Structure History of Semantic Roles 1. Contemporary Frameworks 2. Difficult Phenomena (from an

Introduction to Fortran 95 Reusing this material This work is licensed under a Creative Commons

News Papers Covered More Reading project meetings due this Fri 10/23 A review of

Creating Engaging & Powerful YAC Projects Thursday, March 15 9:30-10:30am Welcome &

AES Agreements September 8, 2016 CALS Business Services Replacement of Agreements Improving

Interior-point methods 10-725 Optimization Geoff Gordon Ryan Tibshirani Review SVM duality

Interior-point methods 10-725 Optimization Geoff Gordon Ryan Tibshirani Review SVM duality

F acebook @DWAFCEA T witter afcea @DWAFCEA L inked I n D ayton W r ight C hapter of AFCEA I nter

esm-tools A tool for Earth-System-Modellers Nadine Wieters, Dirk Barbi, Luisa Cristini, et al.

Locked-on: verifying controls for aircraft tracking Chun Kai Ling, Daniel Wong 15-824 Logical

Towards Faster Nonnegative Tensor Factorization: A New Active-Set type Algorithm and Comparisons

Campaign externalities, programmatic spending and voting preferences in rural Mexico The case of

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Catch the Scouting spirit and ensure each Scout gets a complete uniform to look his very best and

Moving Behavior Moving Behavior ( 1 , 1 , S 1 ) ( 2 , 2 , S 2 ) ( 3 , 3 ,

go to university have places Some great new facilities science labs, and over 100 new PCs

trrss t - PowerPoint PPT Presentation

trrss t st rts str

1 4 : 3 5 P M 1 5 : 1 0 P M C r y p Te n : A M L f r a m e w o r k b a s e d o n s e c

1 What Do Linkers Do? (cont) What Do Linkers Do? Step 2: Relocation Step 1: Symbol

compsci 514: algorithms for data science Cameron Musco University of Massachusetts Amherst. Fall

Methods in Python Introducing: Methods class ClassName: A method is a special kind of

Structure History of Semantic Roles 1. Contemporary Frameworks 2. Difficult Phenomena (from an

Introduction to Fortran 95 Reusing this material This work is licensed under a Creative Commons

News Papers Covered More Reading project meetings due this Fri 10/23 A review of

Creating Engaging &amp; Powerful YAC Projects Thursday, March 15 9:30-10:30am Welcome &amp;

AES Agreements September 8, 2016 CALS Business Services Replacement of Agreements Improving

Interior-point methods 10-725 Optimization Geoff Gordon Ryan Tibshirani Review SVM duality

Interior-point methods 10-725 Optimization Geoff Gordon Ryan Tibshirani Review SVM duality

F acebook @DWAFCEA T witter afcea @DWAFCEA L inked I n D ayton W r ight C hapter of AFCEA I nter

esm-tools A tool for Earth-System-Modellers Nadine Wieters, Dirk Barbi, Luisa Cristini, et al.

Locked-on: verifying controls for aircraft tracking Chun Kai Ling, Daniel Wong 15-824 Logical

Towards Faster Nonnegative Tensor Factorization: A New Active-Set type Algorithm and Comparisons

Campaign externalities, programmatic spending and voting preferences in rural Mexico The case of

Focus Session on Stellar Populations and Gravitational Wave Observations Center for

Computational Complexity of Bayesian Networks Johan Kwisthout and Cassio P. de Campos Radboud

ARMAX: One Step Prediction IIT Bombay Consider 2' nd order ARMAX model with d 1 = y (

Composite Likelihood and Particle Filtering Methods for Network Estimation Arthur Asuncion

A Theoretical and Experimental Review of SystemC Front-ends Kevin Marquet Matthieu Moy Bageshri

Catch the Scouting spirit and ensure each Scout gets a complete uniform to look his very best and

Moving Behavior Moving Behavior ( 1 , 1 , S 1 ) ( 2 , 2 , S 2 ) ( 3 , 3 ,

go to university have places Some great new facilities science labs, and over 100 new PCs

Creating Engaging & Powerful YAC Projects Thursday, March 15 9:30-10:30am Welcome &