Bin Gu, Victor S. Sheng, Keng Yeow Tay, Walter Romano, Shuo Li,
Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression problems. However, until now there were no effective algorithms proposed to address incremental SVOR learning due to the complicated formulations of SVOR. Recently, an interesting accurate on-line algorithm was ... In this paper, we first present a modified SVOR formulation based on a sum-of-margins strategy. ... the modified formulation, and propose an effective incremental SVOR algorithm. The algorithm can handle a quadratic formulation ...
Tópico(s): Rough Sets and Fuzzy Logic
2014 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Neural Networks and Learning Systems
Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng,
... tasks of supervised learning. Support vector ordinal regression (SVOR) is an appealing method to tackle ordinal regression ... due to the complexity in the formulation of SVOR and the high cost of kernel computation, traditional SVOR solvers are inefficient for large-scale training. To ... in this paper, we first highlight a special SVOR formulation whose thresholds are described implicitly, so that ... as AsyGCD. To further accelerate the training for SVOR, we propose two novel asynchronous parallel coordinate descent ...
Tópico(s): Rough Sets and Fuzzy Logic
2020 - Elsevier BV | Pattern Recognition
Fa Zhu, Ning Ye, Xingchi Chen, Yongbin Zhao, Yining Gang,
... in ordinal regression problem, support vector ordinal regression (SVOR) finds (r−1) parallel hyperplanes by solving a ... it would costs much more time to train SVOR than SVC or SVR. Fortunately, the solution of SVOR is only decided by minor constraints which are ... try to remove these potential redundant constraints for SVOR learning. For the jth parallel hyperplane, the potential ... The experimental results on several datasets demonstrate that SVOR becomes much faster after removing potential redundant constraints ...
Tópico(s): Rough Sets and Fuzzy Logic
2021 - Elsevier BV | Applied Soft Computing
Support vector ordinal regression (SVOR) is a popular method for tackling ordinal regression problems. Solution path provides a compact representation of optimal solutions for all ... selection. However, due to the complicated formulation of SVOR (including multiple equalities and extra variables), there is still no solution path algorithm proposed for SVOR. In this paper, we propose a regularization path algorithm for SVOR which can track the two sets of variables of SVOR w.r.t. the regularization parameter. Technically, we ...
Tópico(s): Morphological variations and asymmetry
2017 - Elsevier BV | Neural Networks
Fa Zhu, Xingchi Chen, Xizhan Gao, Weidu Ye, Hai Zhao, Athanasios V. Vasilakos,
... used ordinal regression model, support vector ordinal regression (SVOR) identifies r-1 parallel hyperplanes to separate r ... have no influence on certain parallel hyperplanes during SVOR learning. If a constraint induces the deviation of ... noises and simultaneously retain the useful constraints during SVOR learning. The experiments on several datasets demonstrate that CWSVOR outperforms KDLOR, ELMOP, NNOP, SVOR and NPSVOR when the training set is corrupted ... noises and it shows comparable performance to pin-SVOR.
Tópico(s): Domain Adaptation and Few-Shot Learning
2023 - Elsevier BV | Information Sciences
Miriam Piles, Jorge Díez, Juan José del Coz, Elena Montañés, José Ramón Quevedo, Josep Ramón, O. Rafel, Manel López‐Béjar, Llibertat Tusell,
... Support Vector Regression (SVR), Support Vector Ordinal Regression (SVOR), and Non-deterministic Ordinal Regression (NDOR) were compared ... it was 6%, 13% and 39% smaller for SVOR, OLR and NDOR, respectively. However, NDOR predicted an ... smaller linear loss than the reference one (MEAN) SVOR being the one with the best performance. The ... performing variable selection with the LR, OLR, SVR, SVOR and NDOR methods, respectively. For all methods, the ...
Tópico(s): Sperm and Testicular Function
2013 - Elsevier BV | Livestock Science
Bin Zhao, Fei Wang, Changshui Zhang,
Support vector ordinal regression (SVOR) is a recently proposed ordinal regression (OR) algorithm. Despite its theoretical and empirical success, the method has one major bottleneck, ... clusters with kernel k-means and then performing SVOR on the k cluster representatives. Hence, the algorithm ... and demonstrate that BQSVOR improves the speed of SVOR significantly with guaranteed accuracy.
Tópico(s): Machine Learning and Data Classification
2009 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Neural Networks
Estrella Rogel, Janie Vien, Harris Morazan, Francisco López-Linares, Jacqulene Lang, Ian Benson, Lante Carbognani Ortega, César Ovalles,
... require a relatively high solvent-to-oil ratio (SvOR > 1:1 v/v) to induce subsurface asphaltene ... lab experiments demonstrated that asphaltene precipitants reduce the SvOR (∼30–50 vol %) for subsurface upgrading at initial ...
Tópico(s): Enhanced Oil Recovery Techniques
2017 - American Chemical Society | Energy & Fuels
... test site. The solvent-injection–produced-oil ratio (SvOR) is among the key performance indicators (KPIs) of ... thermodynamic trapping, such as subcool trapping, contributes to SvOR and affects the facility's economic and artificial- ...
Tópico(s): Hydraulic Fracturing and Reservoir Analysis
2018 - Society of Petroleum Engineers | SPE Journal
Fa Zhu, Xingchi Chen, Shuo Chen, Wei Zheng, Weidu Ye,
... classical ordinal regression model, support vector ordinal regression (SVOR) finds (r-1) parallel discriminant hyperplanes via maximizing ... RMSVOR is superior to previous ordinal regression models (SVOR, NPSVOR and NPHORM) and canonical multi-class classification ...
Tópico(s): Imbalanced Data Classification Techniques
2023 - Elsevier BV | Expert Systems with Applications
Ming Hao, Lianshan Yan, Anlin Yi, Lin Jiang, Yan Pan, Wei Pan, Bin Luo,
... monitoring method assisted by support vector ordinal regression (SVOR) is proposed for digital coherent receivers. According to ... OSNR) value could be effectively estimated by using SVOR. The effectiveness of the proposed OSNR monitoring method ...
Tópico(s): Photonic and Optical Devices
2019 - Institute of Electrical and Electronics Engineers | IEEE photonics journal
Rama Ratnam, Thomas J. Anastasio,
... eye rotation in the absence of head rotation (SVOR), SVOR can be eliminated by the process of vestibular compensation. In mammals, SVOR elimination occurs over a period of days, and follows an exponential time course. We show that SVOR elimination in goldfish occurs in a matter of ...
Tópico(s): Glaucoma and retinal disorders
1995 - Lippincott Williams & Wilkins | Neuroreport
Guangzheng Zhong, Yanshan Xiao, Bo Liu, Liang Zhao, Xiangjun Kong,
... classification problems with ordinal classes. Support vector OR (SVOR) is a typical OR algorithm and has been ... a novel pinball loss function and present an SVOR method with pinball loss (pin-SVOR). Pin-SVOR is fundamentally different from traditional SVOR with hinge loss. Traditional SVOR employs the hinge loss function, and the classifier ... sensitive and re-sampling unstable classifier. Distinctively, pin-SVOR employs the pinball loss function. It attaches an ... noise insensitivity. The experimental results show that pin-SVOR has better classification performance than state-of-the- ...
Tópico(s): Rough Sets and Fuzzy Logic
2023 - Institute of Electrical and Electronics Engineers | IEEE Transactions on Neural Networks and Learning Systems
... ben, die elne Xliirung des Pr~-zipit~ion,svor, ganges her,beifiihren 'kSn,n.ten.Unsere Hoffnung ...
Tópico(s): Inorganic and Organometallic Chemistry
1922 - Springer Science+Business Media | The Science of Nature
... National Museum, Copenhagen (1942 et seq.). . Google Scholar Svor J. N. Svoronos Ta Nomismata tou kratous ton ...
Tópico(s): Archaeology and ancient environmental studies
1969 - Wiley | Archaeometry
Tópico(s): Literature and Cultural Memory
1984 - Routledge | The Germanic Review Literature Culture Theory
Dongmin Guo, David Zhang, Lei Zhang, Guangming Lu,
... classification results, we apply a novel regression technique, SVOR, to classify the diabetes samples into four ordinal ...
Tópico(s): Metabolomics and Mass Spectrometry Studies
2012 - Elsevier BV | Sensors and Actuators B Chemical
Peter Holland, Tafadzwa Sibindi, Marik Ginzburg, Suman Das, Kiki Arkesteijn, Maarten A. Frens, Opher Donchin,
... reflex, vVOR, and visual suppression of the VOR, sVOR). The model successfully reproduced the eye movements in ...
Tópico(s): Visual perception and processing mechanisms
2020 - Frontiers Media | Frontiers in Systems Neuroscience
Xing Wang, Meizhen Wang, Xuejun Liu, Litao Zhu, Thomas Glade, Mingzheng Chen, Zhao Wei, Yujia Xie,
... parameters to refine the spatial volume of rainfall (SVoR)1 perceived by cameras to improve the accuracy ...
Tópico(s): Hydrology and Watershed Management Studies
2021 - Elsevier BV | Journal of Hydrology
Huan Liu, Jiankai Tu, Chunguang Li,
... of data, among which support vector ordinal regression (SVOR) methods are popular because of their good generalization. ... processing. However, as far as we know, existing SVOR methods are all centralized. In the above situations, ... choices. In this paper, we propose a distributed SVOR (dSVOR) algorithm. First, we formulate a constrained optimization problem for SVOR in distributed circumstances. Since there are some difficulties ...
Tópico(s): Remote-Sensing Image Classification
2022 - Multidisciplinary Digital Publishing Institute | Entropy
Tafadzwa Sibindi, Peter Holland, Jos N. van der Geest, Opher Donchin, Maarten A. Frens,
... the VOR, OKR, VVOR (visually enhanced VOR), and SVOR (suppressed VOR). We used stimuli containing 0.6 ... is violated primarily in the OKR, VOR, and SVOR conditions. In OKR, we observed relative gain suppression ... frequency component irrespective of the absolute frequency. Conversely, SVOR and VOR results showed gain enhancement of the ...
Tópico(s): Glaucoma and retinal disorders
2016 - Cadmus Press | Investigative Ophthalmology & Visual Science
Yan Chen, Huai-Cheng Jia, Jia-Xi Xu, Tao Xu, Kun Chen, Jingchuan Sun, Jiangang Shi,
... the patients with no complications had higher post-SVOR and lower SVRR and height of posterior suspension ...
Tópico(s): Spine and Intervertebral Disc Pathology
2019 - International Scientific Information Inc. | Medical Science Monitor
Huan Liu, Jiankai Tu, Anqi Gao, Chunguang Li,
... noise in OR, we take the form of SVOR with explicit constraints to achieve robustness to one ...
Tópico(s): Industrial Vision Systems and Defect Detection
2024 - Elsevier BV | Neurocomputing
Bo Xiao, Jin Duan, Xuelian Liu, Yong Zhu, Hao Wang,
... Network (CNN) features and Support Vector Ordinal Regression (SVOR) with explicit inequality constraints on the thresholds was ... results showed that the evaluation models based on SVOR and pyramid CNN features of images can describe ...
Tópico(s): Image and Video Quality Assessment
2017 - World Scientific | International Journal of Pattern Recognition and Artificial Intelligence
Vaka Vésteinsdóttir, Ragnhildur Lilja Ásgeirsdóttir, Vera Óðinsdóttir, Snæfríður Birta Björgvinsdóttir, Helena Ólafsdóttir, Eyney Ösp Gunnarsdóttir, Fanney Þórsdóttir,
... spurningakannanatilraun hvort mismunandi orðalag spurninga hefði áhrif á svör þátttakenda. Þar var kannað a) hvaða áhrif það ...
Tópico(s): European and International Law Studies
2020 - University of Iceland | Icelandic Review of Politics & Administration
... perceptron based (Pranks) methods, SVM based ordinal regression (SVOR) methods, and discriminant learning ordinal regression (KDLOR) method ...
Tópico(s): Gaussian Processes and Bayesian Inference
2018 - Elsevier BV | Procedia Computer Science
... the short order of liquids using Voronoi entropy (SVor), computed using Voronoi Polyhedra (VP) tessellations. Voronoi tessellations ... VP is used to determine the Voronoi entropy (SVor), which shares similarities with the Shannon measure of ... restricted to two-dimensional analysis. In this study SVor is used to quantify the orderliness of the ... and ethanol-1-propanol) through molecular dynamics simulations. SVor is calculated for the VP considering all atom ... atoms to exclusively study the hydrogen bonds. The SVor for all atoms shows that the smaller molecules ...
Tópico(s): Chemical Thermodynamics and Molecular Structure
2023 - Elsevier BV | Chemical Physics Impact
... a trained Reduces Support Vector Ordinal Regression (Reduced SVOR) model to obtain whitening level result. Compared with deep learning models, both SIFT and Reduced SVOR need fewer resources. Thus, the proposed solution can ...
Tópico(s): Color Science and Applications
2024 - Wiley | Internet Technology Letters
... weighed. Because uterine weight increased earlier than either SVor VP weight, the ability of the uterus to ...
Tópico(s): Sperm and Testicular Function
1976 - Arkansas Academy of Science | Journal of the Arkansas Academy of Science
... DGOR) und der Schweizerischen Vereinigung für Operations Research (SVOR). AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare ...
Tópico(s): Flexible and Reconfigurable Manufacturing Systems
1976 - Wiley | Chemie Ingenieur Technik