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Approximate. published presentations and documents on DocSlides.

Randomized Algorithms CS648

Randomized Algorithms CS648

  • celsa-spraggs
  • 0 Slides

. Lecture 2. Randomized Algorithm for Approximat...

Accuracy-Aware Program Transformations

Accuracy-Aware Program Transformations

  • sherrill-nordquist
  • 0 Slides

Sasa . Misailovic. MIT CSAIL. Collaborators. Mart...

9-5 Alternating Series Rizzi –

9-5 Alternating Series Rizzi –

  • ellena-manuel
  • 0 Slides

Calc. BC. Objectives. Use the Alternating Series...

Mutation Testing Meets Approximate Computing

Mutation Testing Meets Approximate Computing

  • olivia-moreira
  • 0 Slides

Milos Gligoric. 1. , Sarfraz Khurshid. 1. , Sasa ...

Statistics 200 Lecture #15 Tuesday, October 11, 2016

Statistics 200 Lecture #15 Tuesday, October 11, 2016

  • myesha-ticknor
  • 0 Slides

Textbook: Sections . 8.7, 9.1 through 9.4. • A...

On the Impossibility of Approximate Obfuscation

On the Impossibility of Approximate Obfuscation

  • olivia-moreira
  • 0 Slides

Nir. . Bitansky. and Omer . Paneth. Program Obf...

Ran Canetti, Yael Kalai

Ran Canetti, Yael Kalai

  • olivia-moreira
  • 0 Slides

, Omer . Paneth. On Obfuscation with Random Oracl...

Perceptual Influence of Approximate Visibility in Indirect Illumination

Perceptual Influence of Approximate Visibility in Indirect Illumination

  • briana-ranney
  • 0 Slides

Insu. Yu. 27 May 2010. ACM Transactions on Appli...

Linear sketching for Functions over Boolean Hypercube

Linear sketching for Functions over Boolean Hypercube

  • lindy-dunigan
  • 0 Slides

Grigory. . Yaroslavtsev. (Indiana University, Bl...

On Quantification of Accuracy Loss in Approximate Computing

On Quantification of Accuracy Loss in Approximate Computing

  • faustina-dinatale
  • 0 Slides

Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/0...

Apparent Motion of the Stars

Apparent Motion of the Stars

  • alida-meadow
  • 0 Slides

Sample Exam Images from . APOD. TWAN. What direct...

Disciplined Approximate Computing: From Language to Hardware and Beyond

Disciplined Approximate Computing: From Language to Hardware and Beyond

  • min-jolicoeur
  • 0 Slides

University of Washington. Adrian Sampson, . Hadi....

Review EOC Algebra II http

Review EOC Algebra II http

  • jane-oiler
  • 0 Slides

://. www.ncpublicschools.org/accountability/testi...

Approximate Graph Matching

Approximate Graph Matching

  • tatyana-admore
  • 0 Slides

R. Srikant. ECE/CSL. UIUC. Coauthor. Joseph . Lub...

Planning a vacation, on a budget

Planning a vacation, on a budget

  • pasty-toler
  • 0 Slides

Life Management- A. Sobotka. Objective. Students ...

Replication Larry V. Hedges

Replication Larry V. Hedges

  • celsa-spraggs
  • 0 Slides

Northwestern University. Presented at the Institu...

Fuzzy Control Lect 3 Membership Function and Approximate Reasoning

Fuzzy Control Lect 3 Membership Function and Approximate Reasoning

  • alexa-scheidler
  • 0 Slides

Basil Hamed. Electrical Engineering . Islamic Un...

Lattice Sparsification and the Approximate Closest Vector Problem

Lattice Sparsification and the Approximate Closest Vector Problem

  • aaron
  • 0 Slides

Daniel . Dadush. Centrum . Wiskunde. . en. . In...

Rigorous RG algorithms and area laws for low energy eigenstates in 1D

Rigorous RG algorithms and area laws for low energy eigenstates in 1D

  • phoebe-click
  • 0 Slides

Thomas Vidick. California Institute of Technology...

Introduction to the Gospels

Introduction to the Gospels

  • faustina-dinatale
  • 0 Slides

The . Bible Course. Document # TX001081. © Sain...

Introduction to the Gospels

Introduction to the Gospels

  • ellena-manuel
  • 0 Slides

Document # TX004711. © Saint Mary’s Press. Th...

Swarup Acharya Phillip

Swarup Acharya Phillip

  • jane-oiler
  • 0 Slides

B. Gibbons . Viswanath. . Poosala. . Sridhar . ...

ETHICAL CONSIDERATIONS AND COMMON SENSE Matters when ENGAGING MEDICAL EXPERTS

ETHICAL CONSIDERATIONS AND COMMON SENSE Matters when ENGAGING MEDICAL EXPERTS

  • pasty-toler
  • 0 Slides

By: Eleanor P. McNulty, CEO. Contingent fee arran...

Mutation Testing Meets Approximate Computing

Mutation Testing Meets Approximate Computing

  • karlyn-bohler
  • 0 Slides

Milos Gligoric. 1. , Sarfraz Khurshid. 1. , Sasa ...

Addressing Prolonged Restore Challenges in Further Scaling DRAMs

Addressing Prolonged Restore Challenges in Further Scaling DRAMs

  • phoebe-click
  • 0 Slides

Xianwei Zhang. Youtao. Zhang (advisor). CS, Pitt...

Approximate Running Time

Approximate Running Time

  • tatiana-dople
  • 0 Slides

: 4 . minutes .  . . . Copyright © 20...

Holder Homeomorphisms and Approximate Nearest Neighbors

Holder Homeomorphisms and Approximate Nearest Neighbors

  • yoshiko-marsland
  • 0 Slides

Ilya . Razenshteyn. . (Microsoft Research Redmon...

Approximate Near Neighbors for General Symmetric Norms

Approximate Near Neighbors for General Symmetric Norms

  • pamella-moone
  • 0 Slides

Ilya Razenshteyn . (MIT CSAIL). j. oint with. Ale...

Generating Novel Reflectance Functions

Generating Novel Reflectance Functions

  • giovanna-bartolotta
  • 0 Slides

Adam Brady. 2. 3. 4. 5. ?. 6. 7. 8. 9. ?. 10. 11....

4 th -order Runge Kutta

4 th -order Runge Kutta

  • cheryl-pisano
  • 0 Slides

and. the . Dormand. -Prince Methods. Douglas Wil...

Approximate Computing: (Old) Hype or New Frontier?

Approximate Computing: (Old) Hype or New Frontier?

  • danika-pritchard
  • 0 Slides

Sarita Adve. University of Illinois, EPFL. Acks. ...

Statistical Analysis and Modeling for Error Composition in Approximate

Statistical Analysis and Modeling for Error Composition in Approximate

  • luanne-stotts
  • 0 Slides

Computation Circuits. Wei-Ting Jonas Chan. 1. , A...

Generating Novel Reflectance Functions

Generating Novel Reflectance Functions

  • cheryl-pisano
  • 0 Slides

Adam Brady. 2. 3. 4. 5. ?. 6. 7. 8. 9. ?. 10. 11....

Implementation of L inear

Implementation of L inear

  • celsa-spraggs
  • 0 Slides

S. ensitivity . A. pproximate . M. ethod . Pedram...

Cu Neural net Paper discussion: Why does cheap

Cu Neural net Paper discussion: Why does cheap

  • pasty-toler
  • 0 Slides

and deep learning . work so well?. What are Hamil...

Emergency Navigation Homework

Emergency Navigation Homework

  • tawny-fly
  • 0 Slides

Solutions. Global Navigation. Chapter. 7. 1. Le...

Four-Cut : An Approximate Sampling Procedure for Election Audits

Four-Cut : An Approximate Sampling Procedure for Election Audits

  • celsa-spraggs
  • 0 Slides

Mayuri. Sridhar. Ronald L. . Rivest. Overview. W...

The shift from ICD9-CM to ICD-10 in coding health conditions in Italy: preliminary data on morbidit

The shift from ICD9-CM to ICD-10 in coding health conditions in Italy: preliminary data on morbidit

  • danika-pritchard
  • 0 Slides

effects.. Frattura L.. 1. , Della Mea V.. 2. , . ...

Approximate Associative Memristive Memory for Energy-Efficient GPUs

Approximate Associative Memristive Memory for Energy-Efficient GPUs

  • briana-ranney
  • 0 Slides

Abbas Rahimi. , Amirali Ghofrani, Kwang-Ting Chen...

FAB-MAP: Probabilistic Localization and Mapping

FAB-MAP: Probabilistic Localization and Mapping

  • karlyn-bohler
  • 15 Slides

FAB-MAP: Probabilistic Localization and Mapping ...

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