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Underspecified Representations

Underspecified Representations. The Issue. Every boxer loves a woman Ax(BOXER(X) => Ey(WOMAN(Y) & LOVE(X,Y)) Ey(WOMAN(Y) & Ax( BOXER(X) =>LOVE(X,Y)) Reading 1: every boxer has scope over or outscopes a woman Reading 2: a woman has scope over or outscopes every boxer

603 views • 45 slides

Assignment #3 is posted: Due Thursday Nov. 15 at the beginning of class.

Assignment #3 is posted: Due Thursday Nov. 15 at the beginning of class. Make sure you are also working on your projects. Come see me if you are unsure about what to do next. These two graphs have the same sized minimum cuts between every pair of vertices:. Weights on edges are 1.

453 views • 30 slides

Generating random correlation matrices based on regular vines and the extended Onion method

Generating random correlation matrices based on regular vines and the extended Onion method. Daniel Lewandowski Dorota Kurowicka Harry Joe. Our objective. Generate random correlation matrices uniformly from the set of semi-positive definite correlation matrices.

569 views • 29 slides

Binomial Queues

Binomial Queues. CSE 373 Data Structures Lecture 12. Reading. Reading Section 6.8,. Merging heaps. Binary Heap has limited (fast) functionality FindMin, DeleteMin and Insert only does not support fast merges of two heaps

634 views • 28 slides

Interconnect Layout Optimization by Simultaneous Steiner Tree Construction and Buffer Insertion

427 views • 23 slides