Results 81 to 90 of about 1,209,660 (299)

SUPPORT VECTOR MACHINE FOR HYDRAULIC SUPPORT RELIABILITY PREDICTION

open access: yesJixie qiangdu, 2017
In order to enhance the competitiveness of the domestic hydraulic support. It is imperative to carry out reliability engineering. The reliability evaluation of the hydraulic support in service can effectively provide reference for the development and ...
DING Fei   +3 more
doaj  

Determination of ADP/ATP translocase isoform ratios in malignancy and cellular senescence

open access: yesMolecular Oncology, EarlyView.
The individual functions of three isoforms exchanging ADP and ATP (ADP/ATP translocases; ANTs) on the mitochondrial membrane remain unclear. We developed a method for quantitatively differentiating highly similar human ANT1, ANT2, and ANT3 using parallel reaction monitoring. This method allowed us to assess changes in translocase levels during cellular
Zuzana Liblova   +18 more
wiley   +1 more source

Qualitative Robustness of Support Vector Machines [PDF]

open access: yesarXiv, 2009
Support vector machines have attracted much attention in theoretical and in applied statistics. Main topics of recent interest are consistency, learning rates and robustness. In this article, it is shown that support vector machines are qualitatively robust.
arxiv  

Suboptimal Solution Path Algorithm for Support Vector Machine [PDF]

open access: yes, 2011
We consider a suboptimal solution path algorithm for the Support Vector Machine. The solution path algorithm is an effective tool for solving a sequence of a parametrized optimization problems in machine learning.
Karasuyama, Masayuki, Takeuchi, Ichiro
core   +1 more source

Mapping Hsp104 interactions using cross‐linking mass spectrometry

open access: yesFEBS Open Bio, EarlyView.
This study examines how cross‐linking mass spectrometry can be utilized to analyze ATP‐induced conformational changes in Hsp104 and its interactions with substrates. We developed an analytical pipeline to distinguish between intra‐ and inter‐subunit contacts within the hexameric homo‐oligomer and discovered contacts between Hsp104 and a selected ...
Kinga Westphal   +3 more
wiley   +1 more source

Biased support vector machine and weighted-smote in handling class imbalance problem

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2018
Class imbalance occurs when instances in a class are much higher than in other classes. This machine learning major problem can affect the predicted accuracy.
Hartono Hartono   +3 more
doaj   +1 more source

Learning properties of Support Vector Machines [PDF]

open access: yesarXiv, 1998
We study the typical learning properties of the recently proposed Support Vectors Machines. The generalization error on linearly separable tasks, the capacity, the typical number of Support Vectors, the margin, and the robustness or noise tolerance of a class of Support Vector Machines are determined in the framework of Statistical Mechanics.
arxiv  

Prediction of Probabilistic Transient Stability Using Support Vector Machine [PDF]

open access: yesarXiv, 2021
Transient stability assessment is an integral part of dynamic security assessment of power systems. Traditional methods of transient stability assessment, such as time domain simulation approach and direct methods, are appropriate for offline studies and thus, cannot be applied for online transient stability prediction, which is a major requirement in ...
arxiv  

Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater

open access: yesFEBS Open Bio, EarlyView.
We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui   +5 more
wiley   +1 more source

A novel improved fuzzy support vector machine based stock price trend forecast model [PDF]

open access: yesarXiv, 2018
Application of fuzzy support vector machine in stock price forecast. Support vector machine is a new type of machine learning method proposed in 1990s. It can deal with classification and regression problems very successfully. Due to the excellent learning performance of support vector machine, the technology has become a hot research topic in the ...
arxiv  

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