23 citations · 47 across the 15 of their papers we have counts for
4 papers · 1 filter
Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events
Antoine Honoré, Veronica Siljehav, Saikat Chatterjee +1
Apnea, bradycardia and desaturation (ABD) events often precede life-threatening events including sepsis in newborn babies. Here, we explore machine learning for detection of ABD ev…
Progressive Learning for Systematic Design of Large Neural Networks
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi +2
We develop an algorithm for systematic design of a large artificial neural network using a progression property. We find that some non-linear functions, such as the rectifier linea…
Estimate Exchange over Network is Good for Distributed Hard Thresholding Pursuit
Ahmed Zaki, Partha P. Mitra, Lars K. Rasmussen +1
We investigate an existing distributed algorithm for learning sparse signals or data over networks. The algorithm is iterative and exchanges intermediate estimates of a sparse sign…
A Connectedness Constraint for Learning Sparse Graphs
Martin Sundin, Arun Venkitaraman, Magnus Jansson +1
Graphs are naturally sparse objects that are used to study many problems involving networks, for example, distributed learning and graph signal processing. In some cases, the graph…