Results 111 to 120 of about 869,216 (289)

Blind equalization algorithm based on complex support vector regression

Tongxin xuebao, 2019
A new blind equalization algorithm for complex valued signals was proposed based on the framework of complex support vector regression(CSVR).In the proposed algorithm,the error function of multi-modulus algorithm (MMA) was substituted into CSVR to ...
Ling YANG, Liang CHEN, Bin ZHAO, Guolong ZHANG, Yuan LI   +4 more
doaj   +2 more sources

A working set algorithm for support vector regression problems

Journal of Numerical Analysis and Approximation Theory
Due to its dual quadratic structure and the existence of complex structural constraints, support vector regression (SVR) is still a computationally intensive operation.
Saida Azib, Belkacem Brahmi
doaj   +1 more source

A Simpler Approach to Coefficient Regularized Support Vector Machines Regression

Abstract and Applied Analysis, 2014
We consider a kind of support vector machines regression (SVMR) algorithms associated with lq  (1 ...
Hongzhi Tong, Di-Rong Chen, Fenghong Yang   +2 more
doaj   +1 more source

On robustness properties of convex risk minimization methods for pattern recognition [PDF]

The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core  

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

Advanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu, Mingli Wei, Che Bian, Xiaoshuang Bi, Yaxin Deng, Peifu Xiao, Jiansong Zhao, Yuying Wang, Haibing He, Jingxin Gou, Tian Yin, Xing Tang, Li Yang, Hongbo Zhang, Yu Zhang   +14 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Statistical mechanics of support vector regression

Physical Review E
A key problem in deep learning and computational neuroscience is relating the geometrical properties of neural representations to task performance. Here, we consider this problem for continuous decoding tasks where neural variability may affect task precision.
Abdulkadir Canatar, SueYeon Chung
openaire   +2 more sources

RNA‐Micelles as Self‐Assembling Structures for Efficient Co‐Delivery of Synergistic siRNA and Nucleoside Analogues to Treat CRC Lung Metastasis

Advanced Functional Materials, EarlyView.
Two kinds of self‐assembled RNA micelles were used to co‐deliver synergistic siRNA and nucleoside analogues for the treatment of colorectal cancer lung metastases. Near‐complete elimination of lung cancer metastases was confirmed in an orthotopic lung metastasis model constructed using human colorectal cancer lung metastases patient surgical samples to
Kai Jin, Piotr Rychahou, Daniel W. Binzel, B. Mark Evers, Peixuan Guo   +4 more
wiley   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Efficient Support Vector Regression with Reduced Training Data [PDF]

Annals of computer science and information systems, 2019
Ling Cen, Quang Hieu Vu, Dymitr Ruta
doaj   +1 more source