PPT-Finding Heuristics Using Abstraction

Kenny Denmark Jason Isenhower Ross Roessler Background A uses heuristics for efficient searching Initially heuristics provided by quotexpertquot Challenge is to have program create heuristics. Greta . Yorsh. Eran. . Yahav. Martin . Vechev. IBM Research. { . . ………………. . …… . ………………….. . …………………….. …………………………. }. P1(). Retrieval. Motivation. Experiments. Overall Framework. Multi-Abstraction Concern Localization. Tien-Duy B. Le, Shaowei Wang, and David Lo. {btdle.2012, shaoweiwang.2010,davidlo}@smu.edu.sg. Abstraction. Bart Jansen, University of Utrecht. Problem background. Geometrical problem statement. Research. Experimental evaluation of heuristics. Heuristics. Results. Conclusion. Outline. 2. Several types of analysis require accessibility . By. Farnoosh Davoodi. 1. Agenda. Min Knapsack Problem. 2 approximation greedy algorithm. Proof . 3/2 approximation greedy algorithm. Proof. Another improved heuristic. Heuristics for the O-1 Min-Knapsack Problem. Presenter: . Mati. Bot. Course: Advance Seminar in Algorithms (Prof. . Yefim. . Dinitz. ). Human-Competitiveness Definition. Evolving Hyper-Heuristics using Genetic . Programming . Rush-Hour (bronze . Occurs through a process of . simplification. or . distortion. in an attempt to communicate an . essential aspect. of a form or concept. Varying degrees of resemblance to the real world. Abstraction. with Bounds. Outline. Motivation. Abstractions . of extensive-form games. Theoretical guarantees on abstraction quality. Computing . abstractions. Hardness. Algorithms. Experiments. Nash equilibrium. Sequential Incomplete-Information Games. Tuomas Sandholm. Professor. Carnegie Mellon University. Computer Science Department. Most real-world games are incomplete-information games with sequential (& simultaneous) moves. Tushar Sharma. and Thomas Reps. SAS’17. Motivations. Prove Program Assertions. Function and loop summaries. Sound with respect to . bitvectors. A New Abstraction Framework for Affine Transformers. T. Sharma and T. Reps. SAS'17. Edward J. Schwartz. Software Engineering Institute. Carnegie Mellon University. 12/9/2014. PPREW: Abstraction Recovery. 1. The Gap Between . Binary and Source Code. push. . %. ebp. mov. . %. esp. Government Abstraction Reform and Water ‘Rights’ Henry Leveson-Gower 19 March 2013 Contents - Context: Water White Paper and Bill Abstraction Reform Why we are reforming Emerging reform options Implications for ‘rights’ The State of Techniques for Solving Large Imperfect-Information Games Tuomas Sandholm Professor Carnegie Mellon University Computer Science Department Also: Machine Learning Department Ph.D. Program in Algorithms, Way of classifying information from abstract (general) to concrete (specific) . . Level 4:. Abstractions. Level 3: . Noun Classes, broad group names with little specification. Level 2:. Noun Categories, more definite groups. Slide . 1. PHY Abstraction for MU-MIMO. Date:. 2010-07-11. Authors: . Name. Affiliations. Address. Phone. email. Riichi Kudo. NTT Corporation. Hikarino-oka Yokosuka-shi Japan. +81-46-859- 3140. kudo.riichi@lab.ntt.co.jp.