IIT Madras’ free 2026 ‘Introduction to Machine Learning’ course offers a concept-driven, maths-backed path into AI. Across 12 ...
The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...
A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Operating Systems (SOS), founded by yacht captain David Clarke, will present its Charter Guest app at Metstrade and introduce ...
Abstract: We propose a variational Bayesian (VB) implementation of block-sparse Bayesian learning (BSBL) to compute proxy probability density functions (PDFs) that approximate the posterior PDFs of ...
Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Abstract: The objective of optical super-resolution (SR) imaging is to acquire reliable sub-diffraction information on bioprocesses to facilitate scientific discovery. Structured illumination ...
Accurate disaster prediction combined with reliable uncertainty quantification is crucial for timely and effective decision-making in emergency management. However, traditional deep learning methods ...
Abstract: Most existing federated learning (FL) frameworks use deterministic models as the task model, which may suffer from overfitting due to small-scale data at client sides. Since Bayesian ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback