revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce...

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Transcript of revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce...

Page 1: revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce adimensionnelle 0.0 0.0 0.2 0.5 1.0 20 2.5 3.0 0.8 0.6 1.2 1.0 — Analyse pr&entée n Von
Page 2: revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce adimensionnelle 0.0 0.0 0.2 0.5 1.0 20 2.5 3.0 0.8 0.6 1.2 1.0 — Analyse pr&entée n Von
Page 3: revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce adimensionnelle 0.0 0.0 0.2 0.5 1.0 20 2.5 3.0 0.8 0.6 1.2 1.0 — Analyse pr&entée n Von
Page 4: revue n°19-ilovepdf-compressed 3.pdf · 2018. 5. 29. · 1.0 15 2.0 2.5 3.0 Fréqucnce adimensionnelle 0.0 0.0 0.2 0.5 1.0 20 2.5 3.0 0.8 0.6 1.2 1.0 — Analyse pr&entée n Von
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Six Ion Gun Fusion Experiment (SIGFE) Findings and Future Work€¦ · 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5-2.0 -1.0 0.0 1.0 2.0 x ]-] Neutron data

Six Ion Gun Fusion Experiment (SIGFE) Findings and Future Work€¦ · 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5-2.0 -1.0 0.0 1.0 2.0 x ]-] Neutron data

VACC · 5.0 4.0 3.0 2.0 1.0 0.0 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Source: ABS 6401.0 Consumer Price Index Wage Price Index Annual change per quarter - Private; All Industries

VACC · 5.0 4.0 3.0 2.0 1.0 0.0 5.0 4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 Source: ABS 6401.0 Consumer Price Index Wage Price Index Annual change per quarter - Private; All Industries

0.0 Argument 1.0 The Four Master Tropes

0.0 Argument 1.0 The Four Master Tropes

Pogojna verjetnost in Bayesov izrek¡f...False Positive Fraction = 1.0 Specificity True Positive Fraction = Sensitivity 1.0 1.0 0.0 0.0 Modality A Modality B Za odgovor moramo poznati

Pogojna verjetnost in Bayesov izrek¡f...False Positive Fraction = 1.0 Specificity True Positive Fraction = Sensitivity 1.0 1.0 0.0 0.0 Modality A Modality B Za odgovor moramo poznati

FX FORECASTS - Desjardins · Monthly variation in %-2.0-1.5-1.0-0.5 0.0 0.5 1.0 1.5 2.0 2.5 ... bet on a depreciation. • From a fundamental standpoint, the Canadian economy has

FX FORECASTS - Desjardins · Monthly variation in %-2.0-1.5-1.0-0.5 0.0 0.5 1.0 1.5 2.0 2.5 ... bet on a depreciation. • From a fundamental standpoint, the Canadian economy has

BMI 541/699 Lecture 12lindstro/12.assumptions.10.13.pdf · 0.8 Rel. Freq. Hist. of sample sample size = 20 , mean = 0.82 x b Relative Frequency 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0.0 0.4

BMI 541/699 Lecture 12lindstro/12.assumptions.10.13.pdf · 0.8 Rel. Freq. Hist. of sample sample size = 20 , mean = 0.82 x b Relative Frequency 0.0 0.5 1.0 1.5 2.0 2.5 3.0 0.0 0.4

Introduction to Machine Learning - Project Jupyter · -5.0-2.5 0.0 2.5 5.0-5.0 -2.5 0.0 2.5 5.0 X1 X2 Class-1 1 Logistic regression : 96.9 % correctly classified risk_bernoulli(Y,

Introduction to Machine Learning - Project Jupyter · -5.0-2.5 0.0 2.5 5.0-5.0 -2.5 0.0 2.5 5.0 X1 X2 Class-1 1 Logistic regression : 96.9 % correctly classified risk_bernoulli(Y,

Third Party Billing and Tuition Discounting€¦ · ADA - Letter-Administrative Assistant 0 0.0% 2 0.6% 0 0.0% ADJ – AAS Administration of Justice 8 2.5% 13 4.0% 4 1.0% AEGT - Certificate

Third Party Billing and Tuition Discounting€¦ · ADA - Letter-Administrative Assistant 0 0.0% 2 0.6% 0 0.0% ADJ – AAS Administration of Justice 8 2.5% 13 4.0% 4 1.0% AEGT - Certificate

Introduction2 SATOSHIKOIKE,TZEE-CHARKUOANDLAURENTIUPAUNESCU-1.0 -0.5 0.0 0.5 1.0-1.0-0.5 0.0 0.5 1.0-1.0 -0.5 0.0 0.5 1.0-1.0-0.5 0.0 0.5 1.0 Figure 1. f2 = c, f4 = c Take f(z,w) ∈

Introduction2 SATOSHIKOIKE,TZEE-CHARKUOANDLAURENTIUPAUNESCU-1.0 -0.5 0.0 0.5 1.0-1.0-0.5 0.0 0.5 1.0-1.0 -0.5 0.0 0.5 1.0-1.0-0.5 0.0 0.5 1.0 Figure 1. f2 = c, f4 = c Take f(z,w) ∈

NEWSLETTER · Brightling Gill 3jE 6 150 1.0 -1.0 S Hinge Ebery 2kN 9 140 1.0 -1.0 Kanetkar Wilsmore 1NTW 5 100 0.0 0.0 Nunn Neill 2lW 6 100 0.0 0.0 De Livera Gumby 2jWX 7 100 0.0

NEWSLETTER · Brightling Gill 3jE 6 150 1.0 -1.0 S Hinge Ebery 2kN 9 140 1.0 -1.0 Kanetkar Wilsmore 1NTW 5 100 0.0 0.0 Nunn Neill 2lW 6 100 0.0 0.0 De Livera Gumby 2jWX 7 100 0.0

Quality Assessment of Fractalized NPR Textures: a ...maverick.inria.fr/Publications/2009/BTS09/BTS09.pdf · -1.5 -1.0 -0.5 0.0 0.5 1.0-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 Hatching Dots

Quality Assessment of Fractalized NPR Textures: a ...maverick.inria.fr/Publications/2009/BTS09/BTS09.pdf · -1.5 -1.0 -0.5 0.0 0.5 1.0-1.5 -1.0 -0.5 0.0 0.5 1.0 1.5 Hatching Dots

Global Baseoil Supply and Demand Forecast 2006-2011klc.kstle.or.kr/Upload/Board/06년(3) Lubrizol.pdf · Global Fuels Markets (2005-2015)-1.0%-0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% Diesel

Global Baseoil Supply and Demand Forecast 2006-2011klc.kstle.or.kr/Upload/Board/06년(3) Lubrizol.pdf · Global Fuels Markets (2005-2015)-1.0%-0.5% 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% Diesel

Cross-stitch · 2020. 8. 6. · the robotics institute 1.5 as 1.0 0.5 0.0 -0.5 24 72 96 48 1.5 as 1.0 0.5 0.0 -0.5 24 72 96 48 1.5 1.0 0.5 0.0 -0.5 192 256 128 1.5 1.0 0.5 0.0 -0.5

Cross-stitch · 2020. 8. 6. · the robotics institute 1.5 as 1.0 0.5 0.0 -0.5 24 72 96 48 1.5 as 1.0 0.5 0.0 -0.5 24 72 96 48 1.5 1.0 0.5 0.0 -0.5 192 256 128 1.5 1.0 0.5 0.0 -0.5

03full feat3 - feat.kku.ac.th · 0.0298x + 0.8531 R2 = 0.94 50 Ce 100 150 2.0 1.5 1.0 0.5 0.0 -0.5 0.4997x + 0.4109 R2 = 0.9968 1.5 2.0 2.5 1.0 logc 0.0 0.5 150 100 50 -50 38.43x

03full feat3 - feat.kku.ac.th · 0.0298x + 0.8531 R2 = 0.94 50 Ce 100 150 2.0 1.5 1.0 0.5 0.0 -0.5 0.4997x + 0.4109 R2 = 0.9968 1.5 2.0 2.5 1.0 logc 0.0 0.5 150 100 50 -50 38.43x

Auto-Vectorization through Code Generation for Stream ...people.csail.mit.edu/huayongw/papers/2009_Wang_ICS.pdf · KNN speedup (weighted cosine metric) 0.0 0.5 1.0 1.5 2.0 2.5 3.0

Auto-Vectorization through Code Generation for Stream ...people.csail.mit.edu/huayongw/papers/2009_Wang_ICS.pdf · KNN speedup (weighted cosine metric) 0.0 0.5 1.0 1.5 2.0 2.5 3.0

Travel Demand Infrastructure Needs Infrastructure Funding · 4 Changes in VMT and Capacity – U.S. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

Travel Demand Infrastructure Needs Infrastructure Funding · 4 Changes in VMT and Capacity – U.S. 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0

GOM Project.pdf2/26/20 MHAC Presentation 26 TOC (wt. %) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 %) 0.0 0.5 1.0 1.5 2.0 2.5 H002 H005 AOM OSR GOM2-1 Typical Marine Sediments (Raiswell and Berner,

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2080 -0.5°C 0.0°C 2.0°C 1.5°C 1.0°C 0.5°C 3.0°C 2.5°C 2040200019601920188018401800 Observational Record IPCC* Prediction Little Ice Age -0.5°C 0.0°C 0.5°C.

2080 -0.5°C 0.0°C 2.0°C 1.5°C 1.0°C 0.5°C 3.0°C 2.5°C 2040200019601920188018401800 Observational Record IPCC* Prediction Little Ice Age -0.5°C 0.0°C 0.5°C.

APPENDIX 5 - California · 5/15/2010 · APPENDIX 5. HUMAN RESOURCES ... CMO 1.0 1.0 0.0 100% 0.0 0.0 0.0 0.0 0% 0.0 ... /1/2009 - 12/31 /2009 Y ea r T o D ate p pointm

APPENDIX 5 - California · 5/15/2010 · APPENDIX 5. HUMAN RESOURCES ... CMO 1.0 1.0 0.0 100% 0.0 0.0 0.0 0.0 0% 0.0 ... /1/2009 - 12/31 /2009 Y ea r T o D ate p pointm

3.1.4 Demographic Transition. Demographic Transition 2.5 2.0 1.5 1.0 0.5 0.0 19501960197019801990200020102020203020402050 0 2 4 6 8 10 Growth rate (percent)

3.1.4 Demographic Transition. Demographic Transition 2.5 2.0 1.5 1.0 0.5 0.0 19501960197019801990200020102020203020402050 0 2 4 6 8 10 Growth rate (percent)