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https://patents.google.com/patent/US7478074B2/en
A method for operating a computer as a support vector machine (SVM) in order to define a decision surface separating two opposing classes of a training set of vectors. The method involves associating a distance parameter with each vector of the SVM's training set. The distance parameter indicates a distance from its associated vector, being in a first class, to the opposite class.Cited by: 4
https://patents.google.com/patent/CN103702416B/en
The invention relates to a semi-supervised learning indoor positioning method based on a support vector machine. The positioning method comprises the following steps: S1) carrying out mesh generation to the indoor positioning environment, and receiving the received signal strength (RSS) data of a WiFi (wireless fidelity) access point (AP) from a coverage area to each grid; S2) processing the ...
https://support.bioconductor.org/p/38751/
Besides, another two patents "U.S. Patent No. 7,542,959: Feature Selection Using Support Vector Machine Classifier" and " U.S. Patent No. 7,805,388: Feature Selection for a Support Vector Machine Using Feature Ranking" should specifically protect the RFE-SVM method.
https://patents.justia.com/patents-by-us-classification/706/12
Search for Machine Learning Patents and Patent Applications (Class 706/12) Filed with the USPTO ... a plurality of feature values for a plurality of features defined in a feature vector, identifying, based on a machine ... The systems, environment, and methods, described herein support evaluation of an individual for ASD while in the home ...
https://svmpatent.blogspot.com/
Jul 21, 2011 · The Health Discovery Corporation announced that they hold several patents on the support vector machines. According to this source (not verified) the company has started a patent enforcement strategy. They are asking licensing fees from universities for publishing and using support vector machines. If such a practice is true, then the academic progress in machine learning is threatened.
https://research.pes.edu/patents/
Digital Circuit Emulation and Simulation using Support Vector Machine (SVM) Classifiers. Patent application number 3410/CHE/2014, Patent Filed on 09-07-2014. Research Domain: Signal Processing The present subject matter relates to the use of set of binary Support Vector Machines (SVM) classifiers to represent and implement combinational circuit ...
https://jakevdp.github.io/PythonDataScienceHandbook/05.07-support-vector-machines.html
Fitting a support vector machine¶ Let's see the result of an actual fit to this data: we will use Scikit-Learn's support vector classifier to train an SVM model on this data. For the time being, we will use a linear kernel and set the C parameter to a very large number (we'll discuss the meaning of …
https://www.sciencedirect.com/science/article/pii/S0172219018300103
The focus on patent quality is also evident in the work by Wu et al. , who develop an automatic patent quality analysis and qualification system, which is based on a combination of self-organising maps, kernel principal component analysis and support vector machine.Cited by: 7
https://www.patentdocs.org/2018/11/how-to-draft-patent-claims-for-machine-learning-inventions.html
How to Draft Patent Claims for Machine Learning Inventions. By ... This data set is fed into a machine learning algorithm (e.g., a neural network, decision tree, support vector machine, etc.) which trains a model to "learn" a function that produces the mappings with a reasonably high accuracy. In other words, if you give the computer a large ...
https://link.springer.com/article/10.1007%2Fs00500-013-1059-x
Jun 08, 2013 · The support vector machine, Back-Propagation Network and Bayes classification methods are compared on the proposed model. The proposed model in this study will help the decision makers to predict whether the patent appeal will be accepted. The study is unique with the approach that helps the candidate patent owners.Cited by: 9
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