st r
play

str t - PowerPoint PPT Presentation

Jun 10, 2023 •430 likes •873 views

str r Prstt t r

  1. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❈❧✉st❡r✐♥❣ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❚❛❧❦ ❛t ❆❧❣♦t❡❧ ✷✵✶✻ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ■❘■❋ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ▼❛② ✷✼✱ ✷✵✶✻ ❈♦♥❝❧✉s✐♦♥

  2. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ P❧❛♥ ♦❢ t❤❡ t❛❧❦ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ ✶ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ✷ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❧♦❣ ( ♥❚ ) ✲❆♣♣r♦①✐♠❛t✐♦♥ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ✸ ▼❡tr✐❝ ❝❛s❡ ✹ ❈♦♥❝❧✉s✐♦♥

  3. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥

  4. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❲❛r❡❤♦✉s❡ ▲♦❝❛t✐♦♥ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ■♥tr♦❞✉❝❡❞ ❜② ❍❛♠❜✉r❣❡r ❛♥❞ ❑✉❡❤♥ ✐♥ ✶✾✻✸

  5. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❲❛r❡❤♦✉s❡ ▲♦❝❛t✐♦♥ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ▼✐♥✐♠✐③✐♥❣ ♦♣❡♥✐♥❣ ❛♥❞ ❝♦♥♥❡❝t✐♦♥ ❝♦sts

  6. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❯s❡ ❢♦r ❈❧✉st❡r✐♥❣ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥

  7. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❯s❡ ❢♦r ❈❧✉st❡r✐♥❣ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥

  8. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❯s❡ ❢♦r ❈❧✉st❡r✐♥❣ ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥

  9. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❉②♥❛♠✐❝ ❛s♣❡❝t ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ❉②♥❛♠✐❝ ❝❛s❡ st✉❞✐❡❞ ✐♥ ❬❊▼❙ ✷✵✶✹❪ ✭■♥tr♦❞✉❝❡❞ ❜② ❇❡r♠❛♥ ❛♥❞ ❖❞♦♥✐ ✐♥ ✶✾✽✷ ❢♦r st♦❝❤❛st✐❝ ❝❧✐❡♥ts✮

  10. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❉②♥❛♠✐❝ ❛s♣❡❝t ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ❉②♥❛♠✐❝ ❝❛s❡ st✉❞✐❡❞ ✐♥ ❬❊▼❙ ✷✵✶✹❪ ✭■♥tr♦❞✉❝❡❞ ❜② ❇❡r♠❛♥ ❛♥❞ ❖❞♦♥✐ ✐♥ ✶✾✽✷ ❢♦r st♦❝❤❛st✐❝ ❝❧✐❡♥ts✮

  11. ❉②♥❛♠✐❝ ❙✉♠✲❘❛❞✐✐ ❉②♥❛♠✐❝ ❛s♣❡❝t ❈❧✉st❡r✐♥❣ ◆✳❑✳❇❧❛♥❝❤❛r❞✱ ◆✳❙❝❤❛❜❛♥❡❧ Pr❡s❡♥t❛t✐♦♥ ♦❢ t❤❡ ♣r♦❜❧❡♠ ❋❛❝✐❧✐t② ▲♦❝❛t✐♦♥ ❘❡❞✉❝t✐♦♥ ❢r♦♠ ❙❊❚✲❈❖❱❊❘ ❆❧❣♦r✐t❤♠s ✐♥ t❤❡ ❣❡♥❡r❛❧ ✭♥♦♥✲♠❡tr✐❝✮ ❝❛s❡ ▲✐♥❡❛r Pr♦❣r❛♠ Pr❡♣r♦❝❡ss✐♥❣ ❧♦❣ ( ♥❚ ) ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ❧♦❣ ♥ ✲ ❆♣♣r♦①✐♠❛t✐♦♥ ▼❡tr✐❝ ❝❛s❡ ❈♦♥❝❧✉s✐♦♥ ❉②♥❛♠✐❝ ❝❛s❡ st✉❞✐❡❞ ✐♥ ❬❊▼❙ ✷✵✶✹❪ ✭■♥tr♦❞✉❝❡❞ ❜② ❇❡r♠❛♥ ❛♥❞ ❖❞♦♥✐ ✐♥ ✶✾✽✷ ❢♦r st♦❝❤❛st✐❝ ❝❧✐❡♥ts✮

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

AcquiSuite

AcquiSuite

AcquiSuite A8812-1 ModHopper R9120-3 Revised 4/2/2012 General best practices guidelines Site survey best practices Installation best

545 views • 21 slides
Data Structures Index space Box : a rectangular region in index space BoxArray : a union of

Data Structures Index space Box : a rectangular region in index space BoxArray : a union of

Data Structures Index space Box : a rectangular region in index space BoxArray : a union of Boxes at a level Real data at a level FAB: FORTRAN-compatible data on a single box Data on a patch These patches are quite large thousands of

561 views • 5 slides
Pattern-driven Parallel I/O Tuning Babak Behzad 1 , Surendra Byna 2 , Prabhat 2 , Marc Snir 1 , 3 1

Pattern-driven Parallel I/O Tuning Babak Behzad 1 , Surendra Byna 2 , Prabhat 2 , Marc Snir 1 , 3 1

Pattern-driven Parallel I/O Tuning Babak Behzad 1 , Surendra Byna 2 , Prabhat 2 , Marc Snir 1 , 3 1 University of Illinois at Urbana-Champaign, 2 Lawrence Berkeley National Laboratory, 3 Argonne National Laboratory Babak Behzad Pattern-driven

516 views • 22 slides
APNA 29th Annual Conference Session 3016.1: October 30, 2015 Amy LaValla DNP, APRN, PMHNP-BC, PHN

APNA 29th Annual Conference Session 3016.1: October 30, 2015 Amy LaValla DNP, APRN, PMHNP-BC, PHN

APNA 29th Annual Conference Session 3016.1: October 30, 2015 Amy LaValla DNP, APRN, PMHNP-BC, PHN The speaker has no conflicts of interest to disclose Identify why comprehensive fall risk assessment policies are needed Recognize

166 views • 4 slides
Compiler-Agnostic Function Detection in Binaries Dennis Andriesse , Asia Slowinska, Herbert Bos

Compiler-Agnostic Function Detection in Binaries Dennis Andriesse , Asia Slowinska, Herbert Bos

Compiler-Agnostic Function Detection in Binaries Dennis Andriesse , Asia Slowinska, Herbert Bos Vrije Universiteit Amsterdam EuroS&P 2017 Introduction Disassembly in Systems Security Disassembly is the backbone of all

496 views • 20 slides
An Introduction to Software Radio (and a bit about GNU Radio & the USRP) Eric Blossom

An Introduction to Software Radio (and a bit about GNU Radio & the USRP) Eric Blossom

An Introduction to Software Radio (and a bit about GNU Radio & the USRP) Eric Blossom eb@comsec.com www.gnu.org/software/gnuradio comsec.com/wiki USENIX / Boston / June 3, 2006 What's Software Radio? It's a technique for building

980 views • 41 slides
Pre-Game More Than the Game Don Harkey, CEO People Centric Consulting Group Springfield, MO

Pre-Game More Than the Game Don Harkey, CEO People Centric Consulting Group Springfield, MO

Pre-Game More Than the Game Don Harkey, CEO People Centric Consulting Group Springfield, MO Pre-Game Last Chance U Season 5 Pre-Game Dior Walker-Scott Laney College Star WR Pre-Game Great work ethic Team player Great

746 views • 61 slides
Grace An open-source educational programming language Michael Homer Why? 2 mwh.nz/LCA2015

Grace An open-source educational programming language Michael Homer Why? 2 mwh.nz/LCA2015

Grace An open-source educational programming language Michael Homer Why? 2 mwh.nz/LCA2015 Principles Simple programs should be simple Understandable semantic model Support different teaching orders Be a general-purpose language

805 views • 53 slides
How did we end up here? Todd Montgomery Martin Thompson How bad can things really be? Software

How did we end up here? Todd Montgomery Martin Thompson How bad can things really be? Software

How did we end up here? Todd Montgomery Martin Thompson How bad can things really be? Software Project Success Rates Successful Challenged Failure Ad-hoc 49% 37% 14% Iterative 61% 28% 11% Agile 60% 28% 12% Traditional 47% 36%

1.44k views • 107 slides
Introduction to Computer Science CSCI 109 China Tianhe-2 Readings Andrew Goodney St.

Introduction to Computer Science CSCI 109 China Tianhe-2 Readings Andrew Goodney St.

Introduction to Computer Science CSCI 109 China Tianhe-2 Readings Andrew Goodney St. Amant, Ch. 5 Spring 2018 Lecture 7: Compilers and Programming 10/8, 2018 Where are we? 2 Side Note u Two things

1.02k views • 62 slides
COLLARTS WRITTEN JOB APPLICATIONS PART 2: COVER LETTERS COLLARTS COVER LETTERS Ask

COLLARTS WRITTEN JOB APPLICATIONS PART 2: COVER LETTERS COLLARTS COVER LETTERS Ask

COLLARTS WRITTEN JOB APPLICATIONS PART 2: COVER LETTERS COLLARTS COVER LETTERS Ask yourself: What do I want to achieve with this? Do not just paraphrase whats in your resum. Use it to SELL yourself. Keep it

473 views • 9 slides
Build Tools + Makefiles 2 Lab Schedule AcDviDes

Build Tools + Makefiles 2 Lab Schedule AcDviDes

Computer Systems and Networks ECPE 170 Jeff Shafer University of the Pacific Build Tools + Makefiles 2 Lab Schedule AcDviDes

795 views • 27 slides
CS 287 Lecture 19 (Fall 2019) Off-Policy, Model-Free RL: DQN, SoftQ , DDPG, SAC Pieter Abbeel

CS 287 Lecture 19 (Fall 2019) Off-Policy, Model-Free RL: DQN, SoftQ , DDPG, SAC Pieter Abbeel

CS 287 Lecture 19 (Fall 2019) Off-Policy, Model-Free RL: DQN, SoftQ , DDPG, SAC Pieter Abbeel UC Berkeley EECS Outline Motivation n Q-learning n DQN + variants n Q-learning with continuous action spaces (SoftQ) n Deep Deterministic

1.14k views • 49 slides
Disclosures Anabolic therapy, alone and in Research support from Bariatric Advantage and Tate

Disclosures Anabolic therapy, alone and in Research support from Bariatric Advantage and Tate

Disclosures Anabolic therapy, alone and in Research support from Bariatric Advantage and Tate & Lyle (supplements donated for research sequence with antiresorptive s study) Anne Schafer, MD Associate Professor of Medicine and of

284 views • 11 slides
Signatures in Shape Analysis Nikolas Tapia (WIAS/TU Berlin) joint w.i.p. with E. Celledoni &

Signatures in Shape Analysis Nikolas Tapia (WIAS/TU Berlin) joint w.i.p. with E. Celledoni &

Weierstrass Institute for Applied Analysis and Stochastics Signatures in Shape Analysis Nikolas Tapia (WIAS/TU Berlin) joint w.i.p. with E. Celledoni & P . E. Lystad (NTNU) Mohrenstrasse 39 10117 Berlin Germany Tel. +49 30 20372 0

553 views • 22 slides
February 2017 School of the Incarnation Mission Statement The School of the Incarnation embraces

February 2017 School of the Incarnation Mission Statement The School of the Incarnation embraces

February 2017 School of the Incarnation Mission Statement The School of the Incarnation embraces an inter-parish community of children with differing gifts. Through collaboration amongst the faculty, parents and other professionals, the School

464 views • 14 slides
SINGLE-STATE METHOD WITHIN THE HORSE (J-MATRIX) FORMALISM Andrey Shirokov Lomonosov Moscow

SINGLE-STATE METHOD WITHIN THE HORSE (J-MATRIX) FORMALISM Andrey Shirokov Lomonosov Moscow

SINGLE-STATE METHOD WITHIN THE HORSE (J-MATRIX) FORMALISM Andrey Shirokov Lomonosov Moscow State University East Lansing, June 2018 COLLABORATORS: v J. Vary, P. Maris (Iowa State University) v A. Mazur, I. Mazur (Pacific National

963 views • 55 slides
Heritage Organizations for Rural Social Equity (HORSE) Advancing human dignity and social equity

Heritage Organizations for Rural Social Equity (HORSE) Advancing human dignity and social equity

Zachary Stocks zastocks@gmail.com @Museumorphosis Heritage Organizations for Rural Social Equity (HORSE) Advancing human dignity and social equity through Oregons rural GLAMs oregon HORSE Housekeeping 75 min session Please feel

414 views • 24 slides
Efficient Inference for Mul0nomial Mixed Membership Models David Mimno

Efficient Inference for Mul0nomial Mixed Membership Models David Mimno

Efficient Inference for Mul0nomial Mixed Membership Models David Mimno UMass, Amherst Summary How fast can we make Gibbs sampling? How liGle memory can we use? Goal:

668 views • 62 slides
Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen , Sujay

Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen , Sujay

Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen , Sujay Sanghavi University of Texas at Austin Motivations 1: Bad Training Labels in Classification Supervised: noise in training labels makes classifiers

532 views • 8 slides
Flooding Hazards January 6, 2014 David Lochbaum Director, Nuclear Safety Project Union of

Flooding Hazards January 6, 2014 David Lochbaum Director, Nuclear Safety Project Union of

Flooding Hazards January 6, 2014 David Lochbaum Director, Nuclear Safety Project Union of Concerned Scientists www.ucsusa.org Issues Risk integration vs. isolation Cart before the horse Inconsistent oversight 2 Stellar Regulatory

578 views • 26 slides
Identity in the Browser -or- Putting the Cart Before the Horse? Andy Steingruebl and Jeff

Identity in the Browser -or- Putting the Cart Before the Horse? Andy Steingruebl and Jeff

Identity in the Browser -or- Putting the Cart Before the Horse? Andy Steingruebl and Jeff Hodges {asteingruebl,jeff.hodges}@paypal.com PayPal Information Risk Management Position Paper for W3C Workshop on Identity in the Browser May 24

413 views • 9 slides
Mandatory Access Control 1 DAC and Trojan Horse Brown: read, write Employee Employee Brown

Mandatory Access Control 1 DAC and Trojan Horse Brown: read, write Employee Employee Brown

Mandatory Access Control 1 DAC and Trojan Horse Brown: read, write Employee Employee Brown Read Employee Black, Brown: read, write REJECTED! Blacks Employee Black is not allowed To access Employee Black 2 1 DAC and Trojan Horse

643 views • 19 slides
Batch construction and multitask learning in visual relationship recognition Shane Josias Willie

Batch construction and multitask learning in visual relationship recognition Shane Josias Willie

Batch construction and multitask learning in visual relationship recognition Shane Josias Willie Brink Stellenbosch University, CAIR Stellenbosch University josias@sun.ac.za wbrink@sun.ac.za 30 January 2020 1/13 Visual relationship

180 views • 16 slides

More recommend