PPT-Introduction to Uncertainty

1 2 3 Intelligent user interfaces Communication codes Protein sequence alignment Object tracking 4 Stopping distance 95 confidence interval Braking initiated Gradual stop Success stories. 2006 Any proposed decision related new business opportunities should recognize the importance of fit with the business strategy Dayananda et al 2002 Kendall et al2003 Rikknen et al 2010 While strategic planning has always been hard it has been getti log brPage 9br Uncertainty dynamics brPage 10br uncertainty time perception perception perception ambiguity brPage 11br Connectionist implementation brPage 12br Learning algorithms brPage 13br Spreading activation brPage 14br brPage 15br brPage 16br sources:. sensory/processing noise. ignorance. change. consequences:. inference. learning. coding:. distributional/probabilistic population codes. neuromodulators. Multisensory Integration. +.  . apply the previous analysis:. Metric Review. Metric Base Units. meter (m). Length .  . Mass  . Volume . Time . gram (g). Liter (L). second (s). Note: In physics the kilogram (. kg). is used as the fundamental unit for mass not the gram.. Jake Blanchard. Fall 2010. Uncertainty Analysis for Engineers. 1. Instructor. Jake Blanchard. Engineering Physics. 143 Engineering Research Building. blanchard@engr.wisc.edu. Uncertainty Analysis for Engineers. Rrs. ) and output ocean color data:. a brief review. Stéphane. . Maritorena. – ERI/UCSB. Uncertainties in output products. Ideally, the uncertainties associated with ocean color products should be determined through comparisons with in situ measurements (matchups). Jake Blanchard. Spring 2010. Uncertainty Analysis for Engineers. 1. Introduction. Interpretations of Probability. Classical – If an event can occur in N equally likely and different ways, and if n of these have an attribute A, then the probability of the occurrence of A, denoted Pr(A), is defined as n/N. 1. 2. 3. Intelligent user interfaces. Communication codes. Protein sequence alignment. Object tracking. 4. Stopping distance (95% confidence interval). Braking initiated. Gradual stop. Success stories…. Uncertainty. . analysis. (WP3.2). Work. plan. Objective: . . Provide an accurate value of the expected net energy yield from the cluster of wind farms as well as the uncertainty ranges. . Period: [M1-M18]. Overview Introduction Net AEP of wind farm clusters (WP3.1) Uncertainty analysis (WP3.2) Work plan Objective: Provide an accurate value of the expected net energy yield from the cluster of wind farms as well as the uncertainty ranges 1Overviewe the operationalrisksand deter the investment and the hiring ofnew employees These will give the pressure on the macroeconomy like GDP growth unemployment rateetcRecentlyconsiderable uncerta A. KHINE. DIVISION OF CHEMICAL PATHOLOGY. NHLS TYGERBERG . STELLENBOSCH UNIVERSITY. Laboratory Management workshop 3-6 June 2019. MEASUREMENT UNCERTAINTY. is a parameter, associated with the result of a measurement… that defines the range of the values that could reasonably be attributed to the measured quantity (UKAS). CS772A: Probabilistic Machine Learning. Piyush Rai. Course Logistics. Course Name: Probabilistic Machine Learning – . CS772A. 2 classes each week. Mon/. Thur. 18:00-19:30. Venue: KD-101. All material (readings etc) will be posted on course webpage (internal access). Richard J. Nugent III, Ph.D. . Economist, HEC-FDA Lead. Hydrologic Engineering Center . Davis, CA. agenda. What is flood risk, and how do we describe it?. How do we assess flood risk?. What goes into the uncertainty about flood risk?.