Search for tag: "models"

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01:01:43 SULI21June2022_Lasa SULI21June2022_Lasa	SULI21June2022_Lasa ppplonly plasma surface materials devices material carbon interactions energy field wall lot erosion bit models temperature ion fusion 3d heat scale From Anthony Pizzo 0 likes 4 plays Speaker Ane Lasa
03:37 Pranay Anchuri: DataX Information Technology… Pranay Anchuri: DataX Information Technology Policy Data Scientist	Pranay Anchuri: DataX Information Technology Policy Data Scientist outcomes machine projects princeton networks science blockchain sociology chemists platform trajectories scientists predictability researchers domains models scale phd learning focus From Broadcast Broadcast Center Staff 0 likes 9 plays
01:23:11 Center_for_Digital_humanities Center_for_Digital_humanities	Center_for_Digital_humanities kind gender reference characters context text pronouns model models language texts character names question entities process words languages tom english From Broadcast Broadcast Center Staff 0 likes 1 plays
07:54 Jose Garrrido Torres: DataX Catalysis Data… Jose Garrrido Torres: DataX Catalysis Data Scientists	Jose Garrrido Torres: DataX Catalysis Data Scientists machine algorithm laboratory reactions tools chemistry manner science platform experimentalist experiments tags platforms machines samples models algorithms learning possibility instance From Broadcast Broadcast Center Staff 0 likes 25 plays
03:00 Using a Theory of Human Cognition to Improve… Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329)	Using a Theory of Human Cognition to Improve Computer Agents, Albert Lin, UG '23 (3965329) Current reinforcement learning (RL) models still have difficulty generalizing to novel, but related, tasks. They are also often composed of deep neural networks which carry out computations that do… reinforcement learning generalization interpretability neural network model computer humans game baseline theory control attention levels models visualizations experiments network approach training decisions cognition initializations fruits From Research Princeton Research Day 3 likes 37 plays Date April 27th, 2022 Speaker Albert Lin Department Computer Science
03:00 Infrastructure and New Technology Adoption:… Infrastructure and New Technology Adoption: Assessing the Impact of Transmission Availability on New Solar and Wind Entries Using Power Plant Retirements as a Proxy, Emiri Morita, UG '22, (3953817)	Infrastructure and New Technology Adoption: Assessing the Impact of Transmission Availability on New Solar and Wind Entries Using Power Plant Retirements as a Proxy, Emiri Morita, UG '22, (3953817) In response to the climate crisis, many governments around the world have committed to decarbonizing its economy by 2050, requiring technological transitions backed by large infrastructure upgrades… wind infrastructure plant power availability effects megawatts counties transmission planning difference model regression characteristics location models entries retirement coal retirements From Research Princeton Research Day 2 likes 79 plays Date April 27th, 2022 Speaker Emiri Moria, UG '22 Department Economics
03:01 Optimizing Princeton’s Campus Energy… Optimizing Princeton’s Campus Energy Plants, Harry Shapiro, UG '22 (3947045)	Optimizing Princeton’s Campus Energy Plants, Harry Shapiro, UG '22 (3947045) Despite advanced campus energy systems, Princeton spends $10-11 million/year on energy to heat, cool, and power campus buildings, in addition to emitting 75,000-80,000 metric tons of CO2 (equivalent… energy campus model approach models cars electricity savings equations optimization production recommendations emissions canvas result inputs flow plant lot solver From Research Princeton Research Day 1 likes 71 plays Date April 27th, 2022 Speaker Harry Shapiro Department Mechanical and Aerospace Engineering
02:58 Local Damages from Hurricanes: Application of… Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520)	Local Damages from Hurricanes: Application of Machine Learning with Satellite Data, Katie Kolodner, UG '24 (3963520) Though hurricanes are some of the most destructive natural disasters, with the frequency of intense and damaging hurricanes increasing due to climate change, current estimates of damages from… machine learning satellite imagery hurricanes building damage arcgis pro damage result buildings imagery experimentation prediction building hurricane localization target pre max disaster representation polygons models model image network From Research Princeton Research Day 1 likes 28 plays Date April 27th, 2022 Speaker Katie Kolodner Department Operations Research and Financial Engineering
03:19 Public and private transportation in Chinese… Public and private transportation in Chinese cities: Impacts of population size, city wealth, urban typology, and the built environment, Xiangwen Fu, G4 (3954227)	Public and private transportation in Chinese cities: Impacts of population size, city wealth, urban typology, and the built environment, Xiangwen Fu, G4 (3954227) The development of urban transportation is affected by population size, city wealth, urban typology, and the built environment and has significant implications for urban sustainability. We analyze… urban scaling sustainable transportation chinese cities cities transportation models vehicle transit scaling environment topology population impacts transport evolution model regression pattern scale figure types size presentation From Research Princeton Research Day 1 likes 19 plays Date April 27th, 2022 Speaker Xiangwen Fu Department Public and International Affairs
02:59 Policy Evaluation via Deep Synthetic Control,… Policy Evaluation via Deep Synthetic Control, Bhishma Dedhia, G2 (3942036)	Policy Evaluation via Deep Synthetic Control, Bhishma Dedhia, G2 (3942036) The Synthetic Control method has pioneered a class of powerful data-driven techniques to estimate the counterfactual reality of a treated unit from several unexposed donor units. At its core, the… synthetic control policy analysis sequence to sequence modeling transformer models model intervention arm control kind patient art interpretability method tax laws california sequence unit matter progress cigarettes country law tobacco From Research Princeton Research Day 0 likes 7 plays Date April 27th, 2022 Speaker Bhishma Dedhia Department Electrical and Computer Engineering
03:06 Dynamic Measure of Hyperuniformity and… Dynamic Measure of Hyperuniformity and Nonhyperuniformity in Heterogeneous Media via the Diffusion Spreadability, Haina Wang, G4 (3960863)	Dynamic Measure of Hyperuniformity and Nonhyperuniformity in Heterogeneous Media via the Diffusion Spreadability, Haina Wang, G4 (3960863) Time-dependent interphase diffusion processes in multiphase heterogeneous media arise ubiquitously in physics, chemistry and biology. The recently developed concept of spreadability,… spreadability material range water tea models phases decay materials mixtures dots lot teabag interface concept means correlations scale behaviour conclusions From Research Princeton Research Day 1 likes 25 plays Date April 27th, 2022 Speaker Haina Wang Department Chemistry
02:59 Policy Evaluation via Deep Synthetic Control,… Policy Evaluation via Deep Synthetic Control, Bhishma Dedhia, G2 (3942036)	Policy Evaluation via Deep Synthetic Control, Bhishma Dedhia, G2 (3942036) The Synthetic Control method has pioneered a class of powerful data-driven techniques to estimate the counterfactual reality of a treated unit from several unexposed donor units. At its core, the… synthetic control policy analysis sequence to sequence modeling transformer models model intervention arm control kind patient art interpretability method tax laws california sequence unit matter progress cigarettes country law tobacco From Research Princeton Research Day 0 likes 11 plays Date April 27th, 2022 Speaker Bhishma Dedhia Department Electrical and Computer Engineering
03:06 Causal Effects of Depression on Job Satisfaction,… Causal Effects of Depression on Job Satisfaction, Mindy Burton, UG '23 (3881135)	Causal Effects of Depression on Job Satisfaction, Mindy Burton, UG '23 (3881135) My research explores the relationship between depression and job satisfaction. Less than half of American employees feel satisfied with their jobs. Low job satisfaction affects more than an… job satisfaction depression americans’ changing lives reverse causality omitted variable bias fixed effects model lagged depression variable model #prd22 job satisfaction model effects models employees jobs individuals variable individual instrument bias outcomes dataset impact dissatisfaction pandemic productivity listening From Research Princeton Research Day 0 likes 38 plays Date April 27th, 2022 Speaker Mindy Burton, UG Department Economics
39:36 Climate Seminar Series: Sustaining forest carbon… Climate Seminar Series: Sustaining forest carbon storaged under global change	Climate Seminar Series: Sustaining forest carbon storaged under global change Sustaining forest carbon storaged under global change Kailiang Yu Associate Research Scholar High Meadows Environmental Institute Princeton University Monday, Apr 11, 2022 Climate Seminar Series… climate science carbon forest mortality model size scale density respiration uncertainty study slope change dioxide panel growth inventory modal tom models rate From Geosciences The Department of Geosciences, Princeton University 0 likes 18 plays Date April 11th, 2022 Speaker Kailiang Yu, Princeton University (HMEI) Department Geosciences Location Guyot Hall
49:05 CITP Seminar Emily Denton - Data, Power, and AI… CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure	CITP Seminar Emily Denton - Data, Power, and AI Ethics: Critiquing and Rethinking Machine Learning Data Infrastructure In response to growing concerns of bias, discrimination, and unfairness perpetuated by algorithmic systems, the datasets used to train and evaluate machine learning models have come under increased… bias discrimination artificial intelligence data sets algorithms machine learning dataset kind machine datasets field lot benchmarks benchmark things learning task competition model tasks thing models folks imagenet problem kinds From CI Center for Information Technology Policy 0 likes 6 plays Date April 5th, 2022 Speaker Emily Denton Department Center for Information Technology Policy Location Virtual
01:50:29 Intro to Machine Learning, Part 4 of 4 Intro to Machine Learning, Part 4 of 4	Intro to Machine Learning, Part 4 of 4 This course is primarily intended for non-computer science students who want to understand the foundations of building and testing an ML pipeline, different model types, important considerations in… picscie research computing machine learning kind model lot things machine bias learning systems examples training recognition algorithm dataset questions image particle mind ways models images From Andrea Rubinstein 0 likes 4 plays Date January 21st, 2022 Speaker Savannah Thais Department PICSciE/Research Computing