Search for tag: "predictions"

11 Media

03:24 Human-level reasoning without the need for an… Human-level reasoning without the need for an inhuman learning paradigm?, Nobline Yoo, UG '23 (2272767)	Human-level reasoning without the need for an inhuman learning paradigm?, Nobline Yoo, UG '23 (2272767) Two-dimensional human pose estimation is a challenging task, where the goal is to localize key anatomical landmarks (e.g. elbows, knees, shoulders), given an image of a person in some pose. Current… artificial intelligence (ai) computer vision pose estimation machine learning ai privacy data human learning model keys person answer reconstruction images problem quality learning method computer image practice pose elbow body side distribution predictions estimates From Research Princeton Research Day 1 likes 24 plays Date May 4th, 2023 Speaker Nobline Yoo, UG '23 (2272767) Department Computer Science
01:04:49 CITP Lecture: Michael P. Kim - Foundations of… CITP Lecture: Michael P. Kim - Foundations of Responsible Machine Learning	CITP Lecture: Michael P. Kim - Foundations of Responsible Machine Learning Algorithms make predictions about people constantly. The spread of such prediction systems has raised concerns that machine learning algorithms may exhibit problematic behavior, especially… indistinguishability calibration outcome predictor machine model predictions loss question notion algorithm algorithms class fairness prediction groups multi probability learning minimization From CI Center for Information Technology Policy 0 likes 16 plays Date March 20th, 2023 Speaker MIchael P. Kim Department Center forinformation Technology Policy Location Computer Science 105
56:28 TS05October2022_MFitzgerald TS05October2022_MFitzgerald	TS05October2022_MFitzgerald ppplonly mode modes alpha particles frequency tas resonance power linear energy range particle distribution beam predictions wave function damping drive things From PPPL Admins 0 likes 23 plays
31:57 DataX SCM Workshop 6-2022_Bradic DataX SCM Workshop 6-2022_Bradic	DataX SCM Workshop 6-2022_Bradic period treatment machine inference learners pretreatment model bootstrap effect hat control estimator forest statistic test predictions algorithms misspecification weights difference From Broadcast Broadcast Center Staff 0 likes 4 plays
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 34 plays Date April 27th, 2022 Speaker Kamron Soldozy Department Neuroscience
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 39 plays Date July 27th, 2021 Speaker Laura Fang Department Princeton Plasma Physics Lab
02:48 OURSIP Intern - Reha Mathur OURSIP Intern - Reha Mathur	OURSIP Intern - Reha Mathur Developing Machine Learning Potentials for CO2 model carbon energy reference models experimentation dioxide surface properties machine values distance atom density configurations snapshots learning calculations initio predictions From our Undergraduate Research 0 likes 36 plays Date July 27th, 2021 Speaker Reha Mathur Department Department of Chemical and Biological Engineering
03:44 Deep Learning Genomics Methods for the Study of… Deep Learning Genomics Methods for the Study of Regulatory Signals in Breast Tissue, Briana Macedo UG '22 (2312983)	Deep Learning Genomics Methods for the Study of Regulatory Signals in Breast Tissue, Briana Macedo UG '22 (2312983) It is now possible to utilize large genomics datasets to understand how mutations in our genetic code lead to disease, and in turn, create fine-tuned therapies. We leverage predictions from a deep… deepsea chromatin profile regulation pca/umap low dimensional representations noncoding variants genes breast correlation predictions cluster dysregulation clusters processes axis profiles regions relationship background gene score cancer turn mutations genome sea From Research Princeton Research Day 1 likes 97 plays Speaker Briana Macedo Department Computer Science
03:01 But Do You Recall, Why Reindeer Populations Rise… But Do You Recall, Why Reindeer Populations Rise and Fall?: A Theoretical Model of Reindeer and Warble Flies, Ingrid Koester, UG '21 (2313694)	But Do You Recall, Why Reindeer Populations Rise and Fall?: A Theoretical Model of Reindeer and Warble Flies, Ingrid Koester, UG '21 (2313694) Reindeer (Rangifer tarandus) are arctic large-bodied herbivores that have long-term population fluctuations. Although multiple underlying mechanisms might contribute to these fluctuations, the… prd21 models parasites species flies warble host populations reindeer implications render characteristics role cycles predictions bob regions conservation disease livelihoods significance From Research Princeton Research Day 3 likes 120 plays Speaker Ingrid Koester, UG '21 Department Ecology and Evolutionary Biology
04:48 Developing Models for Predictive Analytics in… Developing Models for Predictive Analytics in Track and Field	Developing Models for Predictive Analytics in Track and Field Track and field is a heavily statistics based sport as the objective nature of each event allows for simple comparisons of results. While these basic performance statistics have long been in use to… prd20 webinar 5/5 race athletes half analytics model times side predictions field track rankings screen vector lap runners splits distance models places predictor From Research Princeton Research Day 2 likes 433 plays Date April 29th, 2020 Speaker Ashley Willingham '20 Department Operations Research and Financial Engineering
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 81 plays Date April 29th, 2020 Speaker Fleming Peck '20 Department Neuroscience