PDF-IGAD Climate Prediction and Applications Centre (ICPAC)

January 2015 January 2015 No ICPAC02275 1 HIGHLIGHTS ACTUALITES Over the Greater Horn of Africa GHA r ainfall activiti es were mainly observed over much of Tanzania Rwanda and Burundi durin. May 201 3 No. ICPAC/02/2 5 5 May 201 3 1 1. HIGHLIGHTS  Rainfall activities were mainly concentrated over much of the equatorial sector and northern part s of the southern sector of the Grea Static Branch Prediction. Code around delayed branch. To reorder code around branches, need to predict branch statically when compile . Simplest scheme is to predict a branch as taken. Average misprediction = untaken branch frequency = 34% SPEC. Saehoon Kim. §. , . Yuxiong He. *. ,. . Seung-won Hwang. §. , . Sameh Elnikety. *. , . Seungjin Choi. §. §. *. Web Search Engine . Requirement. 2. Queries. High quality + Low latency. This talk focuses on how to achieve low latency without compromising the quality. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Emura. , Chen & Chen [ 2012, . PLoS. ONE 7(10) ] . Takeshi . Emura. (NCU). Joint work with Dr. Yi-. Hau. Chen and Dr. . Hsuan. -Yu Chen (. Sinica. ). 國立東華大學 應用數學系. 1. 2013/5/17. Chris Ferro (University of Exeter). Tom . Fricker. , . Fredi. Otto, Emma Suckling. 12th International Meeting on Statistical Climatology (28 June 2013, . Jeju. , Korea). Credibility and performance. Prediction is important for action selection. The problem:. prediction of future reward. The algorithm:. temporal difference learning. Neural implementation:. dopamine dependent learning in BG. A precise computational model of learning allows one to look in the brain for “hidden variables” postulated by the model. Matthew S. Gerber, Ph.D.. Assistant Professor. Department of Systems and Information Engineering. University of Virginia. IACA Presentations on Social Media. The Modern Analyst. and Social Media (Woodward). Objectives. To better understand variability in eastern upwelling regions and the Gulf of Guinea. To enhance climate modelling and prediction capabilities. Improve understanding of marine ecosystems for better prediction and management. Climatology. is . the study of Earth’s climate and the factors that affect past, present, and future climatic changes.. Climate describes annual variations of temperature, precipitation, wind, and other weather factors.. Pg 337..345: 3b, 6b (form and strength). Page 350..359: 10b, 12a, 16c, 16e. Homework Turn In…. A straight line that describes how a response variable y changes as an explanatory variable x changes. . Climatology. is . the study of Earth’s climate and the factors that affect past, present, and future climatic changes.. Climate describes annual variations of temperature, precipitation, wind, and other weather factors.. DISCUSSIONS WITH RADIO JOURNALISTS & METEOROLOGISTS. MAINSTREAMING WEATHER AND CLIMATE IN RADIO. Introduction. Weather affects everyone and everything it its path, beginning with the clothes you put on to meet your day to the type of outdoor activities you choose to engage in. . C. hange . and Atrocity . P. revention: . the initial case for. Establishing a pilot scheme . . Dr Ben L Parr . Email. : . b.parr@uq.edu.au. benjaminlparr@gmail.com. Introduction. Outline: . Part 1: Examining the Climate Change and Atrocity...