Results 41 to 50 of about 613,158 (317)
This paper compares two supervised learning algorithms for predicting the sleep stages based on the human brain activity. The first step of the presented work regards feature extraction from real human electroencephalography (EEG) data together with its ...
John Gialelis +4 more
doaj +1 more source
Among the most significant characteristics of human beings is their ability to feel emotions. In recent years, human-machine interface (HM) research has centered on ways to empower the classification of emotions.
Ahmet Ergun Gümüş +2 more
doaj +1 more source
In this paper we promote the use of Support Vector Machines (SVM) as a machine learning tool for searches in high-energy physics. As an example for a new- physics search we discuss the popular case of Supersymmetry at the Large Hadron Collider.
Krücker, Dirk +2 more
core +1 more source
Homogenous Ensemble Phonotactic Language Recognition Based on SVM Supervector Reconstruction [PDF]
Currently, acoustic spoken language recognition (SLR) and phonotactic SLR systems are widely used language recognition systems. To achieve better performance, researchers combine multiple subsystems with the results often much better than a single SLR ...
Johnson, Michael T +3 more
core +2 more sources
Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness
The aim of this study was twofold: (1) to assess the performance accuracy of support vector machine (SVM) models with different kernels to predict rock brittleness and (2) compare the inputs’ importance in different SVM models.
D. Jahed Armaghani +5 more
semanticscholar +1 more source
SVM-Based Channel Estimation and Data Detection for One-Bit Massive MIMO systems [PDF]
The use of low-resolution Analog-to-Digital Converters (ADCs) is a practical solution for reducing cost and power consumption for massive Multiple-Input-Multiple-Output (MIMO) systems.
Nguyen, DHN +2 more
core +2 more sources
Criticality and the Onset of Ordering in the Standard Vicsek Model [PDF]
Experimental observations of animal collective behavior have shown stunning evidence for the emergence of large-scale cooperative phenomena resembling phase transitions in physical systems.
Albano, Ezequiel V. +2 more
core +2 more sources
Landslide is a natural hazard that results in many economic damages and human losses every year. Numerous researchers have studied landslide susceptibility mapping (LSM), each attempting to improve the accuracy of the final outputs.
B. Kalantar +4 more
semanticscholar +1 more source
A Divide-and-Conquer Solver for Kernel Support Vector Machines [PDF]
The kernel support vector machine (SVM) is one of the most widely used classification methods; however, the amount of computation required becomes the bottleneck when facing millions of samples.
Dhillon, Inderjit S. +2 more
core +1 more source
Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization
We aimed to evaluate computer-aided diagnosis (CADx) system for lung nodule classification focusing on (i) usefulness of gradient tree boosting (XGBoost) and (ii) effectiveness of parameter optimization using Bayesian optimization (Tree Parzen Estimator,
Kojima, Ryosuke +6 more
core +2 more sources

