Find all needed information about Structural Support Vector Machines. Below you can see links where you can find everything you want to know about Structural Support Vector Machines.
https://en.wikipedia.org/wiki/Structured_support_vector_machine
The structured support vector machine is a machine learning algorithm that generalizes the Support Vector Machine (SVM) classifier. Whereas the SVM classifier supports binary classification, multiclass classification and regression, the structured SVM allows training of a classifier for general structured output labels.. As an example, a sample instance might be a natural language sentence ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC35360/
We apply a new machine learning method, the so-called Support Vector Machine method, to predict the protein structural class. Support Vector Machine method is performed based on the database derived from SCOP, in which protein domains are classified based on known structures and the evolutionary ...Cited by: 213
https://en.wikipedia.org/wiki/Support_vector_machine
The soft-margin support vector machine described above is an example of an empirical risk minimization (ERM) algorithm for the hinge loss. Seen this way, support vector machines belong to a natural class of algorithms for statistical inference, and many of its unique features are due to …
https://link.springer.com/chapter/10.1007%2F978-3-540-87732-5_56
In this paper, still following the above line of the research, we develop a novel algorithm, termed as Structural Support Vector Machine (SSVM), by directly embedding the structural information into the SVM objective function rather than using as the constraints into SLMM, in this way, we achieve: 1) to overcome the above three shortcomings; 2 ...Cited by: 22
http://www.dlib.net/svm_struct.py.html
# # For a more detailed introduction to structured support vector machines # you should consult the following paper: # Predicting Structured Objects with Support Vector Machines by # Thorsten Joachims, Thomas Hofmann, Yisong Yue, and Chun-nam Yu # # Finally, we come back to the code.
http://ix.cs.uoregon.edu/~lowd/icml14torkamani.pdf
On Robustness and Regularization of Structural Support Vector Machines 2013, based on the political blogs dataset from Adamic and Glance (2005). Blogs are classified as liberal or conserva-tive using both their words and link structure. To make this more challenging, we train on blogs from 2004 but evalu-ate on every year, from 2003 to 2013.
https://www.sciencedirect.com/science/article/pii/S0022460X07007869
Apr 08, 2008 · A support vector machines (SVM)-based two-stage method is proposed to simulate and predict the nonlinear dynamic response of structures. In the first stage, an autoregressive moving average with exogenous input (ARMAX) model is used to represent the acceleration response as the output of a single-input single-output (SISO) system and the least square method is used to estimate …Cited by: 22
https://www.tandfonline.com/doi/abs/10.3846/13923730.2015.1005021
Sep 04, 2007 · This study aims to review the studies on support vector machines (SVM) in structural engineering and investigate the usability of this machine learning based approach by providing three case studies focusing on structural engineering problems.Cited by: 14
Need to find Structural Support Vector Machines information?
To find needed information please read the text beloow. If you need to know more you can click on the links to visit sites with more detailed data.
