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Convex Analysisの二,三の進展について

徹 丸山
- Vol. 70, Iss: 1, pp 97-119
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The article was published on 1977-02-01 and is currently open access. It has received 5933 citations till now.

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Deep Learning

TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
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Increasing Returns and Long-Run Growth

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Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers

TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.

Pattern Recognition and Machine Learning

TL;DR: Probability distributions of linear models for regression and classification are given in this article, along with a discussion of combining models and combining models in the context of machine learning and classification.
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An Algorithm for Vector Quantizer Design

TL;DR: An efficient and intuitive algorithm is presented for the design of vector quantizers based either on a known probabilistic model or on a long training sequence of data.
References
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Journal ArticleDOI

Implementation of Steiner point of fuzzy set.

TL;DR: This paper focuses on establishing efficient methods to compute Steiner point of fuzzy set by proposing linear combination of Steiner points computed by a series of crisp α-cut sets of the fuzzy set.
Posted Content

Extension of the total mass of log-concave functions and related inequalities

TL;DR: In this paper, the functional Quermassintegrals of log-concave functions are discussed, and a functional version of mixed quermass integral inequality for convex bodies is obtained.
Posted Content

An existence result for weakly homogeneous variational inequalities

TL;DR: In this article, the authors obtained an existence result for weakly homogeneous variational inequalities under copositivity of leading term of the involved map, norm-coercivity of the natural map and several additional conditions.
Proceedings ArticleDOI

Distributed set protection with complex adjacency matrices

Youcheng Lou, +1 more
TL;DR: A distributed controller is proposed to achieve the distributed set projection with the same distance and different rotation angles specified by a complex-value adjacency matrix to protect/surround a target described by a convex set in a plane.