'Heuristic' presentation slideshows

Lecture 2

Lecture 2. Rule-based expert systems. Introduction, or what is knowledge? Rules as a knowledge representation technique The main players in the development team Structure of a rule-based expert system Characteristics of an expert system Forward chaining and backward chaining

714 views • 55 slides

Lecture 2

Lecture 2. Rule-based expert systems. Introduction, or what is knowledge? Rules as a knowledge representation technique The main players in the development team Structure of a rule-based expert system Characteristics of an expert system Forward chaining and backward chaining

768 views • 55 slides

Topics

Topics. Logic synthesis. Placement and routing. Logic optimization. Logic synthesis programs transform Boolean expressions into logic gate networks in a particular library. Optimization goals: minimize area, meet delay constraint; some power optimizations. Syntax-directed translation.

634 views • 47 slides

Computer Graphics SS 2014 Ray-Tracing Acceleration

502 views • 35 slides

SOME RESULTS IN GRAPH THEORY

SOME RESULTS IN GRAPH THEORY. 1 ) A graph is any connection of points, some pairs of which are connected by lines. 2 ) If a graph has p points and q lines, it is called a (p,q) graph. points process and utility streams

439 views • 34 slides

LING 581: Advanced Computational Linguistics

443 views • 30 slides

The Validation of Climate Models: The Development of Essential Practice

The Validation of Climate Models: The Development of Essential Practice. Richard B. Rood University of Michigan Wunderground.com NOAA, ESRL, 29 February 2012. Deep Background. As a manager at NASA

460 views • 27 slides

Reza Bosaghzadeh & Nathan Schneider LS2 ~ 1 December 2008

Unsupervised Approaches to Sequence Tagging, Morphology Induction, and Lexical Resource Acquisition. Reza Bosaghzadeh & Nathan Schneider LS2 ~ 1 December 2008. Unsupervised Methods. Sequence Labeling (Part-of-Speech Tagging) Morphology Induction Lexical Resource Acquisition . pronoun.

340 views • 27 slides

Heuristic Algorithms for Multiconstrained Quality-of-Service Routing

Heuristic Algorithms for Multiconstrained Quality-of-Service Routing. Xin Yuan, Member, IEEE IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 10, VO. 2, APRIL 2002. Outline. Introduction Extended Bellman-Ford Algorithm Limited Granularity Heuristic Limited Path Heuristic Simulation Conclusion.

389 views • 27 slides

Towards reducing total energy consumption while constraining core temperatures

Towards reducing total energy consumption while constraining core temperatures. Osman Sarood and Laxmikant Kale Parallel Programming Lab (PPL) University of Illinois Urbana Champaign. Why Energy?. Data centers consume 2% of US Energy Budget in 2006

348 views • 24 slides

Domain-Specific Iterative Readability Computation

Domain-Specific Iterative Readability Computation. Jin Zhao 13/05/2011. Domain-Specific Resources. Domain-Specific Resources. Domain-specific resources targets at varying audiences. Modular arithmetic page from Wikipedia. Modular arithmetic page from Interactivate.com.

336 views • 22 slides

Maximizing Business Value Through Projects: Doing less and achieving more!

Maximizing Business Value Through Projects: Doing less and achieving more!. Thomas G. Lechler Stevens Institute of Technology Hoboken NJ. Doing too Much and Achieving Less!. Simple multiple tasks? A simple exercise:. Draw a circle in the air with one hand.

349 views • 21 slides

B.Tech. Project Presentation

B.Tech. Project Presentation. Intercepting a Moving Target in Road Networks by Prateek Khatri Under the guidance of Prof. N. L. Sarda. The Problem. Given a road-network, n number of pursuers and one evader, devise a strategy to coordinate all pursuers to capture the evader.

638 views • 19 slides

Fast Configurable-Cache Tuning with a Unified Second-Level Cache

Fast Configurable-Cache Tuning with a Unified Second-Level Cache. Ann Gordon-Ross and Frank Vahid* Department of Computer Science and Engineering University of California, Riverside * Also with the Center for Embedded Computer Systems, UC Irvine. Nikil Dutt

271 views • 12 slides

Connect Four

Connect Four. by Jacob Frericks. Rules. Snapshot. Algorithms: Random. Randomly chooses a column to place the piece Advantages Time complexity ( O(1) ) Disadvantages Loses nearly 100% of the time. Algorithms: MiniMax. Minimizes the possible loss for the worst case Advantages

300 views • 9 slides

Ensemble equivalence

Ensemble equivalence. The problem of equivalence between canonical and microcanonical ensemble : canonical ensemble contains systems of all energies . How come this leads to the same thermodynamics the microcanonical ensemble generates with fixed E ? . Heuristic consideration.

423 views • 8 slides

Sudoku Most-Constrained Value Heuristic

Sudoku Most-Constrained Value Heuristic. How It Works. Two variable are created C and N C ? is the amount of numbers 1-9 that can appear in a given cell N ? is the amount of locations a single number 1-9 can appear in a given square. Example. Example.

206 views • 8 slides

2D/3D Packing based on LFF (Less Flexibility First) principle

2D/3D Packing based on LFF (Less Flexibility First) principle. Problem. packing a list of (2D) rectangles or (3D) boxes of various sizes which can be rotated and placed by any orientation into one container to maximize the volume utilization of the container

222 views • 8 slides

Heuristic Based Deformable Body Dynamics

Heuristic Based Deformable Body Dynamics. Final Project for COMP259 Spring 2004. Why Heuristic. In order to properly maintain physical properties of elastic deformation, I would need to understand tensors, FEMs, and much, much more. More akin to a Dissertation Topic than a semester project

138 views • 5 slides

Connect K

Connect K. Richard Fang rfangAI. Heuristic. Choose the move that results in the most unblocked (the opponent does not share the same row/col/diagonal) contiguous lines for the player. Weighted by line length Ex: 5 x 5 , K = 4 next move : red. numbers are the number of lines

146 views • 5 slides