Search for tag: "prediction"

19 Media

35:49 DataX SCM Workshop 6-2022_Feng DataX SCM Workshop 6-2022_Feng	DataX SCM Workshop 6-2022_Feng error units sample prediction hat treatment adoption problem unit effect practice coverage probability interval features term uncertainty intervals outcome guarantee From Broadcast Broadcast Center Staff 0 likes 1 plays
54:42 DataX PPPL Workshop 5-2022_Adebayo DataX PPPL Workshop 5-2022_Adebayo	DataX PPPL Workshop 5-2022_Adebayo model input methods prediction explanation kind question image approaches task point method sort training models kinds network lot interpretability questions From Broadcast Broadcast Center Staff 0 likes 4 plays
50:21 DataX Workshop 5-2022_Altosaar DataX Workshop 5-2022_Altosaar	DataX Workshop 5-2022_Altosaar microelectronics machine physics problem models model things protein decisions chain rna sequence spike question drugs lot prediction gpus inference phd From Broadcast Broadcast Center Staff 0 likes 5 plays
03:04 OURSIP Intern - Kyle Ayisi OURSIP Intern - Kyle Ayisi	OURSIP Intern - Kyle Ayisi Event Segmentation and Hidden Markov Models Mentors: Prof. Ken Norman, Neuroscience Jamal Williams, Neuroscience events memory brain movie experiences variables scholars segmentation model markov dataset segmentations prediction matrices correlation python weather boundaries individual event From our Undergraduate Research 0 likes 30 plays Date July 25th, 2022 Speaker Kyle Ayisi Department Office of Undergraduate Research
02:50 Silencing Alarms: Discovering How Viruses Evade… Silencing Alarms: Discovering How Viruses Evade Our Cellular Immune Systems, Robert LeDesma, G6 (3964620)	Silencing Alarms: Discovering How Viruses Evade Our Cellular Immune Systems, Robert LeDesma, G6 (3964620) The cells in our body inherently possess an alarm system that can detect when an invader, such as a virus, infects the cell. Unfortunately, viruses are constantly evolving ways in which they can… cellular alarm system amino acid hepatitis e virus inductively-coupled plasma mass spectrometry argon plasma metal ion binding domain #prd22 protein viruses metal proteins ions ways virus acids plasma prediction function form alarms alarm cells scientists biology lab attention folds From Research Princeton Research Day 9 likes 194 plays Date April 27th, 2022 Speaker Robert LeDesma Department Molecular Biology
02:59 How sensory and memory information are encoded in… How sensory and memory information are encoded in the brain, Kamron Soldozy, UG '22 (3965318)	How sensory and memory information are encoded in the brain, Kamron Soldozy, UG '22 (3965318) Imagine trying to catch a ball. Combining the position of the ball now with where it was a moment ago allows you to make a prediction of where the ball will be, a crucial piece of information for a… storing memories generating predictions organization of neural encoding re-writing the past memory neurons ball hertz mice brain rectangle timing cortex activity clock question prediction deficits words function mechanisms alzheimer diseases matter From Research Princeton Research Day 1 likes 28 plays Date April 27th, 2022 Speaker Kamron Soldozy Department Neuroscience
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 35 plays Date April 27th, 2022 Speaker Katie Kolodner Department Operations Research and Financial Engineering
27:29 GSS19August2021_Maris GSS19August2021_Maris	GSS19August2021_Maris pppl disruption machine plasma disruptions model learning task energy prediction fusion lot quench event discharge events questions things mitigation scenario stages From PPPL Admins 0 likes 10 plays
02:37 ReMatch+ Intern - Laura Fang ReMatch+ Intern - Laura Fang	ReMatch+ Intern - Laura Fang Uncertainty Quantification for Machine Learning Models model predictions machine errors network points plot density models inputs plasma idea bars error prediction correlation slide values ml goal From our Undergraduate Research 0 likes 23 plays Date July 27th, 2021 Speaker Laura Fang Department Princeton Plasma Physics Lab
31:59 2021 - PNI Class Day 2021 - PNI Class Day	2021 - PNI Class Day thesis neuroscience prediction students stress error congratulations brain slide mice behavior language courses learning class analysis animals inhibition els depression From PNI PNI system administrator 0 likes 64 plays Date May 25th, 2021 Department PNI
09:33 Analyzing Micromobility within the Urban… Analyzing Micromobility within the Urban Transportation Landscape, Ari Riggins, UG '23 (2312257)	Analyzing Micromobility within the Urban Transportation Landscape, Ari Riggins, UG '23 (2312257) I had the privilege of working under the guidance of Dr. Derek A. Paley in his data-driven modeling and estimation of dynamical systems lab at the University of Maryland. For ten weeks, I explored… prd21 trip trips destination income louisville matrix volume reservoir location origin relationship prediction tracks density operator block tract scooter tax housing From Research Princeton Research Day 2 likes 82 plays Speaker Ari Riggins UG '23 Department Computer Science
04:49 OURSIP Intern - Allison Yang OURSIP Intern - Allison Yang	OURSIP Intern - Allison Yang receiver sender color shape mouth task tasks miscommunication communication brain receivers characteristics synchrony avatar prediction alignment interactions misunderstanding mechanisms scanning From our Undergraduate Research 0 likes 36 plays Date September 5th, 2020 Speaker Allison Yang Department The Office of Undergraduate Research
11:31 OURSIP intern - Gabriel Grajeda OURSIP intern - Gabriel Grajeda	OURSIP intern - Gabriel Grajeda Summer Research Colloquium Research Summary - Improving Variable Importance Measures with a New Random Forest Algorithm variables tree question points algorithm prediction graph structure average relationships regression model princeton opportunity fields age split trees computer thousands From our Undergraduate Research 0 likes 12 plays Date July 30th, 2020 Speaker Gabriel Grajeda Location The Office of Undergraduate Research
04:54 OURSIP intern - Vinh Ton OURSIP intern - Vinh Ton	OURSIP intern - Vinh Ton Summer Research Colloquium Research Summary - Protein Cartography: Mapping and Characterizing Unknown Photosynthetic Proteins in the Green Alga Chlamydomonas reinhardtii proteins protein summer lab plants organisms photosynthesis 3d programs localization organism land process plant model energy department overview repository prediction From our Undergraduate Research 0 likes 14 plays Date July 28th, 2020 Speaker Vinh Ton Department Office of Undergraduate Research
05:06 Decoding Brain Signals into Speech - Steps… Decoding Brain Signals into Speech - Steps Towards Universal Brain-Machine Interfaces	Decoding Brain Signals into Speech - Steps Towards Universal Brain-Machine Interfaces Brain-computer interfaces are one of humanity's most ambitious goals. This technology promises to augment our cognitive and physical abilities by allowing us to control devices and communicate… prd20 speech brain model signals prediction electrodes models computer patient learning thesis correlations wavelet correlation error history electrode future synthesis decoding From Research Princeton Research Day 1 likes 142 plays Date April 29th, 2020 Speaker Theodor Marcu '20 Department Computer Science
05:29 Early-life autism spectrum disorder diagnosis… Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methods	Early-life autism spectrum disorder diagnosis with nonlinear EEG analysis using machine learning methods With the increased prevalence of autism spectrum disorder (ASD) comes the challenge of identifying children at risk for ASD as early in life as possible so that they can benefit from early… prd20 autism risk infants diagnosis generalizability metrics classification study accuracy machine measures eeg language prediction sensitivity predictions evaluation features participants activity From Research Princeton Research Day 0 likes 77 plays Date April 29th, 2020 Speaker Fleming Peck '20 Department Neuroscience