PPT-The Science of Prediction

Monitoring Volcanic Activity Signs of Volcanic Activity Eruption history Volcanic gas emission Heat and hydrothermal activity Earthquakes Ground deformation uplift and or sinking Monitoring. 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. Elad. . Hazan. (. Technion. ). Satyen Kale . (Yahoo! Labs). Shai. . Shalev-Shwartz. (Hebrew University). Three Prediction Problems: . I. Online Collaborative Filtering. Users: . {1, 2, …, m}. Movies: . CS 3220. Fall 2014. Hadi Esmaeilzadeh. hadi@cc.gatech.edu. . Georgia Institute of Technology. Some slides adopted from Prof. . Milos . Prvulovic. Control Hazards Revisited. Forwarding helps a lot with data hazards. Research Interests/Needs. 1. Outline. Operational Prediction Branch research needs. Operational Monitoring Branch research needs. New experimental products at CPC. Background on CPC. Thanks to CICS/ESSIC/UMD for Inviting us . 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. 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. NorCPM. Noel . Keenlyside. Francois . Counillon. , Ingo . Bethke. , . Yiguo. . Wang, . Mao. -Lin . Shen. , . Madlen. . Kimmritz. , . Marius . Årthun. , Tor . Eldevik. , Stephanie . Gleixner. , . Helene . 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. 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. . to Support VCR-like Operations in Gossip-based P2P . VoD. Systems. Tianyin. . Xu. , . Weiwei. Wang, . Baoliu. Ye . Wenzhong. Li, . Sanglu. . Lu, Yang . Gao. Nanjing University. Dislab. , NJU CS. F. or Cyber Application. Or Herman-. Saffar. March 2018. What if,. we could advise the police. where. and . when. to allocate their resources,. in order to prevent future crimes?. Outline. Motivation. . with. the EVES . predictor. André . Seznec. . . IRISA/INRIA . EVES. 30/05/2018. . Remove. Data . depencies. . with. Value . Prediction. . [Lipasti96. ][. Mendelson97]. 30/05/2018. EVES. - . La gamme de thé MORPHEE vise toute générations recherchant le sommeil paisible tant désiré et non procuré par tout types de médicaments. Essentiellement composé de feuille de morphine, ce thé vous assurera d’un rétablissement digne d’un voyage sur .