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Estimation of Ability Using Globally Optimal Scoring Weights

Estimation of Ability Using Globally Optimal Scoring Weights

Estimation of Ability Using Globally Optimal Scoring Weights. Shin-ichi Mayekawa Graduate School of Decision Science and Technology Tokyo Institute of Technology. Outline. Review of existing methods Globally Optimal Weight: a set of weights that maximizes the Expected Test Information

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572 views • 43 slides
Towards Requirements-Driven Autonomic Systems Design

Towards Requirements-Driven Autonomic Systems Design

Towards Requirements-Driven Autonomic Systems Design. Alexei Lapouchnian Sotirios Liaskos John Mylopoulos Yijun Yu. May 21, 2005. Overview. Autonomic Computing Goal-Oriented Requirements Engineering From Requirements to High-Variability Designs Towards Autonomic Computing Systems

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478 views • 33 slides
Foundations of Software Design

Foundations of Software Design

Foundations of Software Design. Lecture 26: Text Processing, Tries, and Dynamic Programming Marti Hearst & Fredrik Wallenberg Fall 2002. Problem: String Search. Determine if, and where, a substring occurs within a string. Approaches/Algorithms:. Brute Force Rabin-Karp Tries

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396 views • 32 slides
Lecture 7: Greedy Algorithms II

Lecture 7: Greedy Algorithms II

Lecture 7: Greedy Algorithms II. Shang-Hua Teng. Greedy algorithms. A greedy algorithm always makes the choice that looks best at the moment My everyday examples: Driving in Los Angeles, NY, or Boston for that matter Playing cards Invest on stocks Choose a university

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488 views • 31 slides
Greedy Algorithms:

Greedy Algorithms:

Greedy Algorithms:. A greedy algorithm always makes the choice that looks best at the moment. It makes a local optimal choice in the hope that this choice will lead to a globally optimal solution. Greedy algorithms yield optimal solutions for many (but not all) problems. .

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801 views • 29 slides
Graphs: Structures and Algorithms

Graphs: Structures and Algorithms

Graphs: Structures and Algorithms. How do packets of bits/information get routed on the internet Message divided into packets on client (your) machine Packets sent out using routing tables toward destination Packets may take different routes to destination

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379 views • 20 slides
Chapter 3

Chapter 3

Chapter 3. The Greedy Method. A simple example. Problem : Pick k numbers out of n numbers such that the sum of these k numbers is the largest. Algorithm : FOR i = 1 to k pick out the largest number and delete this number from the input. ENDFOR. The greedy method .

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486 views • 20 slides

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