Search for tag: "models"

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01:14:49 4.16.21 Madeleine Udell, Cornell University 4.16.21 Madeleine Udell, Cornell University	4.16.21 Madeleine Udell, Cornell University Zoom Recording ID: 94765771101 UUID: PdHUv8VrQZK1vScIPYbP6g== Meeting Time: 2021-04-16T15:06:54Z dataset model machine learning features datasets hyperparameters rank models pipeline points matrix sort idea factorization optimization auto values problem description From Jordan Staiti on April 16th, 2021 3 plays
01:12:14 ORIE Colloquium: Daniel Kuhn (College of… ORIE Colloquium: Daniel Kuhn (College of Management of Technology at EPFL), March 23, 2021	ORIE Colloquium: Daniel Kuhn (College of Management of Technology at EPFL), March 23, 2021 A General Framework for Optimal Data-Driven Optimization” We propose a statistically optimal approach to construct data-driven decisions for stochastic optimization problems. Fundamentally,… problem sample optimization distribution function statistic risk rate samples theta model decay probability sense solution models risks training disappointment predictor From Henry Lam on March 23rd, 2021 0 plays
01:07:59 3.19.21 Lucas Mentch, University of Pittsburgh 3.19.21 Lucas Mentch, University of Pittsburgh	3.19.21 Lucas Mentch, University of Pittsburgh Zoom Recording ID: 94765771101 UUID: VB8V4V3dSAGYQagtr1etgQ== Meeting Time: 2021-03-19T15:14:36Z kind features forest model paper things forests test thing lot trees signal models feature sort variables linear tests bit point From Jordan Staiti on March 19th, 2021 6 plays
56:31 3.8.21 Katherine Van Koevering, PhD Cornell… 3.8.21 Katherine Van Koevering, PhD Cornell University	3.8.21 Katherine Van Koevering, PhD Cornell University Zoom Recording ID: 92032593202 UUID: RmlsfJRYTgCSMYJPODUszg== Meeting Time: 2021-03-08T20:48:12Z graph core degree edges model nodes sequence graphs node edge configuration values question kind lot models questions chain chord idea From Jordan Staiti on March 8th, 2021 1 plays
01:12:39 2.26.21 Sameer Singh, University of California,… 2.26.21 Sameer Singh, University of California, Irvine	2.26.21 Sameer Singh, University of California, Irvine Zoom Recording ID: 94765771101 UUID: 0mUf0ZDfRU2+gtHIgzchEQ== Meeting Time: 2021-02-26T16:14:28Z model question things sort models answer task tests lot questions thing examples capabilities idea sentiment percent test birds bit phrase From Jordan Staiti on February 26th, 2021 4 plays
01:27:26 Why language acquisition is like skill learning Why language acquisition is like skill learning	Why language acquisition is like skill learning This is the second talk in the 41st Annual Distinguished Scholar Lecture Series —How Does Language Work? Insights from Evolution, Acquisition and Processing — delivered by Dr. Morten H.… language acquisition skill learning language model acquisition children processing words skills models english production adults From Morten Christiansen on February 25th, 2021 0 plays Content Categories Lectures Creation Date September 20th, 2018 Creator 1 First Name Morten Creator 1 Last Name Christiansen Creator 1 Role Lecturer Creator 1 NetID mhc27 Contributing Unit Psychology \| Department Language English Searchable Unlisted
01:10:54 2.19.21 AI Seminar/LMSS- Raquel… 2.19.21 AI Seminar/LMSS- Raquel Fernández, University of Amsterdam	2.19.21 AI Seminar/LMSS- Raquel Fernández, University of Amsterdam Zoom Recording ID: 94765771101 UUID: D9YNdbDtSs6nauPoHpRaZQ== Meeting Time: 2021-02-19T16:23:30Z model image context description language kind things models descriptions bit fixations questions participants conversation question reference words images participant attention From Jordan Staiti on February 19th, 2021 48 plays
37:56 CS 6120: Lesson 13: Concurrency & Parallelism CS 6120: Lesson 13: Concurrency & Parallelism	CS 6120: Lesson 13: Concurrency & Parallelism Music: https://www.bensound.comStock footage: https://www.videvo.net memory synchronization programming semantics threads models thread things execution model race programs instructions compiler thing cpu consistency operations problem lock From Adrian Sampson on December 6th, 2020 210 plays
01:02:05 12.7.20 Jason Baldridge, Google 12.7.20 Jason Baldridge, Google	12.7.20 Jason Baldridge, Google Zoom Recording ID: 96548055743 UUID: v5J/grDQTniNmRMK9FNMBw== Meeting Time: 2020-12-04T16:06:48Z things language kind room sort lot environment models representations thing kinds paper meaning space instructions ways bit point path dataset From Jordan Staiti on December 4th, 2020 193 plays
08:27 Lesson 27.10 Model Classes Lesson 27.10 Model Classes	Lesson 27.10 Model Classes Through the semester, you have essentially been writing application controllers. In the final assignment, you will need to do that again. But you will also be creating your own models this time. In… controller model sparks rockets class attribute rocket things classes attributes loop bunch models lot velocity screen assignment spark methods subclass From Hannah Lee on November 30th, 2020 33 plays Content Categories Instructional Recordings Creation Date December 1st, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Creator 2 Role Actor or Actress Language English Searchable Yes Searchable On Cornell Web Search
09:37 Lesson 27.9 Model-View-Controller Lesson 27.9 Model-View-Controller	Lesson 27.9 Model-View-Controller When we break up out application in multiple classes, we need to give each class a role. One of the most popular ways to do this is designate a class as a model, a view or a controller. In this video… controller model classes class centigrade application thing fahrenheit pattern folder things attribute script models game lot python gay stuff py From Hannah Lee on November 30th, 2020 36 plays Content Categories Instructional Recordings Creation Date December 1st, 2020 Creator 1 First Name Walker Creator 1 Last Name White Creator 1 Role Faculty or Staff Member Creator 1 NetID wmw2 Language English Searchable Yes Searchable On Cornell Web Search
01:09:45 Digital Life Seminar \| Congzheng Song Digital Life Seminar \| Congzheng Song	Digital Life Seminar \| Congzheng Song model training machine models learning question attacks prediction features differential memorization adversary test accuracy predictions things provider pipeline fact task From Michael Byrne on November 11th, 2020 13 plays
01:14:10 Douglas Kriner - What Happened in 2016?… Douglas Kriner - What Happened in 2016? Predicting Elections Using Convention Data and Forecast Models	Douglas Kriner - What Happened in 2016? Predicting Elections Using Convention Data and Forecast Models trump president election lot question clinton vote forecast models party college model polling voters polls bit fivethirtyeight things times outcome From Kenny Berkowitz on November 3rd, 2020 3 plays
54:05 9.25.20 Dan Adler, Cornell University 9.25.20 Dan Adler, Cornell University	9.25.20 Dan Adler, Cornell University Zoom Recording ID: 96548055743 UUID: fwTm9mIDRoKKi1jnBQWjaA== Meeting Time: 2020-09-25T15:13:21Z distribution feature models model lot features loss individuals discriminator resilience individual level participant points indicators symptoms stress multitask mode point From Jordan Staiti on September 25th, 2020 29 plays
00:58 Ally Accessibility Indicator in Canvas Ally Accessibility Indicator in Canvas	Ally Accessibility Indicator in Canvas Ally Accessibility Indicator in a Canvas Page (length: 0:57) from the Ally Training Workshop In this training workshop, learn to use Ally, a new tool in Canvas to help improve course accessibility.… uploaded share accessibility scanned campus caption complete documents built icons interact linked click models window document demonstrated accessibility checker power quizzes screen extent report plants created james online instruction porous From Dave Winterstein on August 12th, 2020 19 plays Creation Date July 20th, 2020 Creator 1 First Name James Creator 1 Last Name Whalley Creator 1 Role Presenter Creator 2 First Name Julie Creator 2 Last Name Rummings Creator 2 Role Presenter Landing Page https://teaching.cornell.edu/resource/ally-course-accessibility#ATW
01:01:37 Johnson COVID-19: Where Are We Now, Prof. Ori… Johnson COVID-19: Where Are We Now, Prof. Ori Heffetz	Johnson COVID-19: Where Are We Now, Prof. Ori Heffetz emergency money social programs international relations unemployment job situation unemployment rate taxes collected situation worsens long time started recovering monthly data public good personal financial problems 20000000 jobs community building westminster system libertarian theory financial crisis political terms in the united kingdom demand side labor force credit card transactions security growth promoting policies health crisis health policy economic activity months earlier countries center u.s. economy government response economic theory m.b.a. program unemployment benefits great depression difficult question massive government goods industry started measuring emergency lifeline economic indicators upward pressure 1st quarter economic program crisis normal times radio spectrum great recession prediction models central banks monetary stimulus property rights market (economics) late march economic policy property health promotion 2nd quarter people decide people lose macro economy debit card moving average macro response percent economy free market health care caption complete systemic risk g.d.p. data extending unemployment crisis hit high frequency banking terms good news economy started macro economic organized crime activity payment systems credit card consumer expenditures capitalism stimulus package hotel school banks quotations embedded systems From Safiyyah Abdul Hamid on July 31st, 2020 26 plays Searchable Yes