Results 71 to 80 of about 204,288 (176)
Cross-entropy and linguistic typology [PDF]
Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning - NeMLaP3/CoNLL '98, 1998 The idea of "familial relationships" among languages is well-established and accepted, although some controversies persist in a few specific instances. By painstakingly recording and identifying regularities and similarities and comparing these to the historical record, linguists have been able to produce a general "family tree" incorporating most ...
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Alpha-Backpropagation Algorithm: Probability Estimation for One-Hot and Quasi-One-Hot Teachers
IEEE AccessThis study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the alpha-divergence method.
Yasuo Matsuyama
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A Cross-Entropy-Based Hybrid Membrane Computing Method for Power System Unit Commitment Problems
Energies, 2019 The cross-entropy based hybrid membrane computing method is proposed in this paper to solve the power system unit commitment problem. The traditional unit commitment problem can be usually decomposed into a bi-level optimization problem including unit ...
Min Xie +4 more
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An Infrared Image Defect Detection Method for Steel Based on Regularized YOLO
SensorsSteel surfaces often display intricate texture patterns that can resemble defects, posing a challenge in accurately identifying actual defects. Therefore, it is crucial to develop a highly robust defect detection model.
Yongqiang Zou, Yugang Fan
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Deep Common Semantic Space Embedding for Sketch-Based 3D Model Retrieval
Entropy, 2019 Sketch-based 3D model retrieval has become an important research topic in many applications, such as computer graphics and computer-aided design. Although sketches and 3D models have huge interdomain visual perception discrepancies, and sketches of the ...
Jing Bai, Mengjie Wang, Dexin Kong
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Updating weighting matrices by cross-entropy [PDF]
Investigaciones Regionales - Journal of Regional Research, 2011 The classical approach to estimate spatial models lays on the choice of a spatial weights matrix that reflects the interactions among locations. The rule used to define this matrix is supposed to be the most similar to the «true» spatial relationships, but for the researcher is difficult to elucidate when the choice of this matrix is right and when is ...
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The Differentiable Cross-Entropy Method
, 2019 We study the cross-entropy method (CEM) for the non-convex optimization of a continuous and parameterized objective function and introduce a differentiable variant that enables us to differentiate the output of CEM with respect to the objective function's parameters.
Amos, Brandon, Yarats, Denis
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MVarGOSIM: an MPS algorithm for characterizing complex structures with multiple variables
Frontiers in Earth ScienceCreating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability.
Yonghua Chen +6 more
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a cross-entropy based multiagent approach for multiclass activity chain modeling and simulation [PDF]
This paper attempts to model complex destination-chain, departure time and route choices based on activity plan implementation and proposes an arc-based cross entropy method for solving approximately the dynamic user equilibrium in multiagent-based ...
Jean-Patrick Lebacque, Tai-Yu Ma
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A minimum cross entropy model to generate disaggregated agricultural data at the local level [PDF]
This work presents an entropy approach to disaggregate agricultural data at a local level. It comprises two different steps. In a first one, an information prior at disaggregated level based on experts’ opinions, available cartography of land use and ...
Fragoso, Rui Manuel de Sousa +2 more
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