Results 71 to 80 of about 469,122 (324)
An Optimized Method for Semi-supervised Support Vector Machines
Gong-kuang zidonghua, 2010 In view of problem of non-convex optimization problem that semi-supervised support vector machines use margin maximization principle to classify labeled and unlabeled samples, a method EDA_S3VM was proposed which using estimation of distribution ...
WANG Yong +3 more
doaj
Predicting Tunnel Squeezing Using Multiclass Support Vector Machines
Advances in Civil Engineering, 2018 Tunnel squeezing is one of the major geological disasters that often occur during the construction of tunnels in weak rock masses subjected to high in situ stresses.
Yang Sun, Xianda Feng, Lingqiang Yang
doaj +1 more source
Aplikasi Metode Cross Entropy untuk Support Vector Machines
Jurnal Teknik Industri, 2012 Support vector machines (SVM) is a robust method for classification problem. In the original formulation, the dual form of SVM must be solved by a quadratic programming in order to get the optimal solution.
Budi Santosa, Tiananda Widyarini
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Laser Metal Deposited Ti4822 Hollow Pipe: Experimental and Computational Modelling Study
Advanced Engineering Materials, EarlyView.Laser metal deposition (LMD) of a crack‐free built Ti4822 alloys is challenging. This article reports outstanding characteristics of a hollow pipe that is built with LMD technology when a predicted, nontransformation substrate temperature of 800 °C is used.
Sadiq A. Raji +5 more
wiley +1 more source
Binarized support vector machines [PDF]
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have become more popular among practitioners than SVM thanks to their ...
Belén Martín-Barragán +2 more
core
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Support vector machines for optimal channel decoding
EURASIP Journal on Wireless Communications and NetworkingIn this work, we investigate channel decoding techniques based on machine learning, and more specifically, on support vector machines (SVMs). Existing SVM-based decoders suffer from a scalability problem, characterized by the exponential growth of both ...
Gastón De Boni Rovella +3 more
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Evolino for recurrent support vector machines
, 2005 Traditional Support Vector Machines (SVMs) need pre-wired finite time windows to predict and classify time series. They do not have an internal state necessary to deal with sequences involving arbitrary long-term dependencies.
Gagliolo, Matteo +3 more
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Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding
Advanced Engineering Materials, EarlyView.This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou +6 more
wiley +1 more source
Random Projections for Linear Support Vector Machines
, 2014 Let X be a data matrix of rank \rho, whose rows represent n points in d-dimensional space. The linear support vector machine constructs a hyperplane separator that maximizes the 1-norm soft margin. We develop a new oblivious dimension reduction technique
Boutsidis, Christos +3 more
core +1 more source