Results 21 to 30 of about 1,295,192 (344)
Alternative Strategies in Learning Nonlinear Soft Margin Support Vector Machines
The aims of the paper are multifold, to propose a new method to determine a suitable value of the bias corresponding to the soft margin SVM classifier and to experimentally evaluate the quality of the found value against one of the standard expression of the bias computed in terms of the support vectors.
Cătălina Cocianu +2 more
openalex +3 more sources
Fast multimodal imaging combined with machine learning identifying taurine as a potential marker for breast cancer margin assessment. [PDF]
Lan C +12 more
europepmc +3 more sources
A Machine Learning Framework for Oncological Margin Detection
Cancer is the cause of one in four deaths in North America. A common phase of early-stage oncological treatment is the surgical resection of cancerous tissue. The presence of cancer cells on the resection margin, referred to as positive margin, is correlated with the recurrence of cancer and demands re-operation.
Alice Santilli
openalex +3 more sources
Towards machine learning-based quantitative hyperspectral image guidance for brain tumor resection [PDF]
Complete resection of malignant gliomas is hampered by the difficulty in distinguishing tumor cells at the infiltration zone. Fluorescence guidance with 5-ALA assists in reaching this goal.
D. Black +8 more
semanticscholar +1 more source
Generative machine learning methods for multivariate ensemble post-processing [PDF]
Ensemble weather forecasts based on multiple runs of numerical weather prediction models typically show systematic errors and require post-processing to obtain reliable forecasts. Accurately modeling multivariate dependencies is crucial in many practical
Jieyu Chen +3 more
semanticscholar +1 more source
The existing static voltage stability margin evaluation methods cannot meet the actual demand of current power grid well in terms of calculation speed and accuracy.
Tong Liu +5 more
doaj +1 more source
Improving Adversarial Robustness of CNNs via Maximum Margin
In recent years, adversarial examples have aroused widespread research interest and raised concerns about the safety of CNNs. We study adversarial machine learning inspired by a support vector machine (SVM), where the decision boundary with maximum ...
Jiaping Wu, Zhaoqiang Xia, Xiaoyi Feng
doaj +1 more source
Dictionary Learning Guided by Minimum Class Variance Support Vector [PDF]
Existing Support Vector Guided Dictionary Learning(SVGDL) algorithm based on the principle of large-margin classification.When establishing decision-making hyperplanes,the algorithms consider only the boundary conditions of each class of encoding vectors,
WANG Xiaoming, XU Tao, RAN Biao
doaj +1 more source
Penyediaan data distribusi mangrove serta perubahannya membutuhkan waktu pemrosesan yang lama jika dilakukan dengan interpretasi citra secara konvensional, apalagi jika dilakukan pada area yang luas seperti Kabupaten Kubu Raya.
Trida Ridho Fariz +3 more
doaj +1 more source
Shape and Margin Dynamics in Analog Computing: A Machine Learning Perspective [PDF]
Abhishek Agwekar, Laxmi Singh
openalex +2 more sources

