Towards AI

JULY 20, 2023

This includes one paper from 2020 that conducted feature extraction using a denoising autoencoder alongside a deep neural network, and a flattened vector and support vector machines to evaluate study relevance. This study by Bui et al. This study by Bui et al.

Natural Language Processing 96

Natural Language Processing ML ML Support Vector Machines 96

Mlearning.ai

JANUARY 31, 2023

left: neutral pose — do nothing | right: fist  — close gripper | Photos from myo-readings-dataset left: extension  — move forward | right: flexion  — move backward | Photos from myo-readings-dataset This project uses the scikit-learn implementation of a Support Vector Machine (SVM) trained for gesture recognition. Handel, J. -O.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52

Flipboard

JULY 31, 2023

In their debut paper, they used a support-vector machine and only messed up 0.8% They didn’t play favorites either — half the training and testing images came from NIST’s original training set and the other half from NIST’s testing set. of the time. Not too shabby, right? But things didn’t stop at MNIST.

Machine Learning 104

Machine Learning Machine Learning Deep Learning Deep Learning 104