Signal Processing and Machine Learning. Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

Obtrusive methods of patient monitoring create hindrances in the patient’s daily routine. This research presents a novel Respiration DT (ResDT) model based on Wi-Fi Carrier State Information (CSI), ...

The topics will range from basics of information theory, entropy and fundamental limits of data compression, channel capacity & least informative priors, rate-distortion theory, Kolmogorov complexity ...

MicroAlgo Inc.'s Bitcoin trading prediction algorithm based on machine learning and technical indicators plays a crucial role in the construction of the technical foundation with data processing ...