Results 11 to 20 of about 3,872,829 (369)
Acting as Inverse Inverse Planning
SIGGRAPH ...
Kartik Chandra+3 more
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Storytelling as Inverse Inverse Planning
Great storytelling takes us on a journey the way ordinary reality rarely does. But what exactly do we mean by a "journey"? Recently, literary theorist Kukkonen (2014) proposed that storytelling is "probability design": the art of giving an audience pieces of information bit by bit, to craft the journey of their changing beliefs about the fictional ...
Kartik Chandra+3 more
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29 pages, 16 figures. This supersedes our earlier preprint with the same name (arXiv:1505.01855 [math.AG]). The new version is much more systematic, and works beyond the toric complete intersection case; it also draws connections to the work of Doran--Harder on amenable collections and Batyrev--Borisov on nef ...
Coates, T, Kasprzyk, A, Prince, T
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Empirical data suggest that inversions in many species contain genes important for intraspecific divergence and speciation, yet mechanisms of evolution remain unclear. While genes inside an inversion are tightly linked, inversions are not static but evolve separately from the rest of the genome by new mutations, recombination within arrangements, and ...
Faria, Rui+3 more
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Learning inverse folding from millions of predicted structures
We consider the problem of predicting a protein sequence from its backbone atom coordinates. Machine learning approaches to this problem to date have been limited by the number of available experimentally determined protein structures.
Chloe Hsu+7 more
semanticscholar +1 more source
Quasi-cyclic displacement and inversion decomposition of a quasi-Toeplitz matrix
We study a class of column upper-minus-lower (CUML) Toeplitz matrices, which are "close" to the Toeplitz matrices in the sense that their (1,−1)-cyclic displacements coincide with φ-cyclic displacement of some Toeplitz matrices.
Yanpeng Zheng, Xiaoyu Jiang
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On some properties of a generalized min matrix
In this paper, we investigate a min matrix and obtain its $ LU $-decomposition, determinant, permanent, inverse, and norm properties. In addition, we obtain a recurrence relation provided by the characteristic polynomial of this matrix.
Emrah Polatlı
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Deep Convolutional Neural Network for Inverse Problems in Imaging [PDF]
In this paper, we propose a novel deep convolutional neural network (CNN)-based algorithm for solving ill-posed inverse problems. Regularized iterative algorithms have emerged as the standard approach to ill-posed inverse problems in the past few decades.
Kyong Hwan Jin+3 more
semanticscholar +1 more source
"It can be advantageous for an office motivated party A to spend effort to make it public that a group of voters will lose from party A's policy proposal. Such effort is called inverse campaigning. The inverse campaigning equilibria are described for the case where the two parties can simultaneously reveal information publicly to uninformed voters ...
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