'Hard problems' diaporamas de présentation

Social Technology

Social Technology. Marti A. Hearst UC Berkeley. Social Technology: Technology used by groups of people. How society is being changed by technology-mediated interactions. Talk Structure. Examples of social (uses of) technology. Consequences. What makes social systems work?

1.1k views • 81 slides

Predicate Logic

Predicate Logic. Truth-table reminders. The problem people had the most trouble with was 1e: construct a truth-table for: (P & (~Q & R))

868 views • 73 slides

Problem Solving

1.04k views • 72 slides

Org Hacking: An approach for people who find bureaucracies too slow.

450 views • 37 slides

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems

Design and Analysis of Algorithms Approximation algorithms for NP-complete problems. Haidong Xue Summer 2012, at GSU. Approximation algorithms for NPC problems. If a problem is NP-complete, there is very likely no polynomial-time algorithm to find an optimal solution

642 views • 36 slides

Lauritzen-Spiegelhalter Algorithm

Lauritzen-Spiegelhalter Algorithm. Probabilistic Inference In Bayes Networks Haipeng Guo Nov. 08, 2000 KDD Lab, CIS Department, KSU. Presentation Outline. Bayes Networks Probabilistic Inference in Bayes Networks L-S algorithm Computational Complexity Analysis Demo.

506 views • 27 slides

What is Computing? Informatics?

What is Computing? Informatics?. What is computer science, what is its potential? What can we do with computers in our lives? What can we do with computing for society? Will networks transform thinking/knowing/doing? Society affecting and affected by computing?

523 views • 24 slides

History of AI

352 views • 22 slides

532 views • 20 slides

G. I. Science in 2015: Predictions and Visions

G. I. Science in 2015: Predictions and Visions. Shashi Shekhar McKnight Distinguished University Professor Faculty of Computer Science and Engineering University of Minnesota. Source: http://archive.salon.com/comics/tomo/2001/07/09/tomo/index.html ,

336 views • 20 slides

G. I. Science in 2015: Predictions and Visions

G. I. Science in 2015: Predictions and Visions. Shashi Shekhar McKnight Distinguished University Professor Faculty of Computer Science and Engineering University of Minnesota. Source: http://archive.salon.com/comics/tomo/2001/07/09/tomo/index.html ,

397 views • 20 slides

The Palantir Seeing Stone

877 views • 20 slides

Introduction to Algorithms NP-Complete

Introduction to Algorithms NP-Complete. CSE 680 Prof. Roger Crawfis. Polynomial Time. Most (but not all) of the algorithms we have studied so far are easy, in that they can be solved in polynomial time, be it linear, quadratic, cubic, etc.

391 views • 19 slides

The Hard Problems of Consciousness and Music

734 views • 17 slides

Life After Technology

242 views • 17 slides

Character Recognition Using Machine Learning Techniques

764 views • 12 slides

From: What Doesn't Meet the Eye: Understanding and Addressing Racial Disparities in High-Achieving Suburban Schools. By Ronald F. Ferguson. Wiener Center for Social Policy, John F. Kennedy School of Government, Harvard University. October 21, 2002.

178 views • 9 slides

Linear Programming Supplements (Optional)

Linear Programming Supplements (Optional). Standard Form LP (a.k.a. First Primal Form). Strictly ?. All x j 's are non-negative. Transforming Problems into Standard Form. Min c T x ? Max - c T x Max ( c T x + constant) ? Max c T x

270 views • 9 slides

Driving Profit Margin

Driving Profit Margin. Relative Growth. 1.0. Visual Studio. $165K. Multi-core. Business Intelligence. $116K. High Availability. (included) $0. Manageability. Base Product. $ 25K. $ 116K. $ 232K. $ 165K . $ 330K . The Future of Productivity. Innovation Drives Growth. Consumer.

301 views • 6 slides

Section 7.6

146 views • 6 slides