'Poly 1' diaporamas de présentation

Introduction To Plastics Materials

1.79k views • 113 slides

Autograder

Autograder. Rishabh Singh, Sumit gulwani , Armando solar- lezama. A. G. Test-cases based feedback Hard to relate failing inputs to errors Manual feedback by TAs Time consuming and error prone. Feedback on Programming Assignments.

717 views • 50 slides

A MEMS Design Project Debby Chang, Randall Evans, Caleb Knoernschild under Jungsang Kim, Ph.D.

A MEMS Design Project Debby Chang, Randall Evans, Caleb Knoernschild under Jungsang Kim, Ph.D. December 10, 2005 Duke University. Overview. Design overview First Test: manual movement of the gear Design of gears Test setup for gears Test requirements for gears Test results for gears

589 views • 46 slides

Approximate List-Decoding and Uniform Hardness Amplification

Approximate List-Decoding and Uniform Hardness Amplification. Russell Impagliazzo (UCSD) Ragesh Jaiswal (UCSD) Valentine Kabanets (SFU). Hardness Amplification. f. F. Hard function. Harder function. Given a hard function we can get an even harder function. Hardness. {0, 1} n. {0, 1} n.

469 views • 35 slides

food

F i n d !. Fill out letters on the right, to satisfy as much of the constraints on the left. animal. verb. transportation. food. furniture. verb. F i n d !. When the letters form a word in a category, get 1 point per letter. animal. verb. transportation. food. furniture. verb.

322 views • 32 slides

Randomness Conductors (II)

320 views • 25 slides

Programming by Sketching

Programming by Sketching. Armando Solar-Lezama, Liviu Tancau, Gilad Arnold, Rastislav Bodik , Sanjit Seshia UC Berkeley, Rodric Rabbah MIT, Kemal Ebcioglu, Vijay Saraswat, Vivek Sarkar IBM. Merge sort. int[] mergeSort (int[] input, int n) { return merge ( mergeSort (input[0::n/2]),

332 views • 24 slides

Programming by Sketching

Programming by Sketching. Armando Solar-Lezama, Liviu Tancau, Gilad Arnold, Rastislav Bodik , Sanjit Seshia UC Berkeley, Rodric Rabbah MIT, Kemal Ebcioglu, Vijay Saraswat, Vivek Sarkar IBM. Merge sort. int[] mergeSort (int[] input, int n) { return merge ( mergeSort (input[0::n/2]),

327 views • 24 slides

Programming by Sketching

Programming by Sketching. Armando Solar-Lezama, Liviu Tancau, Gilad Arnold, Rastislav Bodik , Sanjit Seshia UC Berkeley, Rodric Rabbah MIT, Kemal Ebcioglu, Vijay Saraswat, Vivek Sarkar IBM. Merge sort. int[] mergeSort (int[] input, int n) { return merge ( mergeSort (input[0::n/2]),

246 views • 24 slides

Fast Moment Estimation in Data Streams in Optimal Space

338 views • 22 slides

Exploration and Apprenticeship Learning in Reinforcement Learning

Exploration and Apprenticeship Learning in Reinforcement Learning. Pieter Abbeel and Andrew Y. Ng Stanford University. Overview. Reinforcement learning in systems with unknown dynamics . Algorithms such as E 3 (Kearns and Singh, 2002) learn the dynamics by using exploration policies .

222 views • 22 slides

Fast Moment Estimation in Data Streams in Optimal Space

224 views • 22 slides

The Subgraph Testing Model

The Subgraph Testing Model. Oded Goldreich Weizmann Institute of Science. Joint work with Dana Ron. ?. ?. ?. ?. ?. Focus: sub-linear time algorithms = performing the task by inspecting the object at few locations. Property Testing: informal definition.

254 views • 12 slides