activity
20162021
most citedKalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights

12 citations · 18 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2021★ 6 cited

Maximum efficiency of low-dissipation heat pumps at given heating load

Zhuolin Ye, Viktor Holubec

We derive an analytical expression for maximum efficiency at fixed power of heat pumps operating along a finite-time reverse Carnot cycle under the low-dissipation assumption. The…

stat.ML2021

A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens

Palash Ghosh, Xinru Wang, Trikay Nalamada +3

A dynamic treatment regimen (DTR) is a set of decision rules to personalize treatments for an individual using their medical history. The Q-learning-based Q-shared algorithm has be…

stat.ME2019★ 12 cited

Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights

Maria Jahja, David C. Farrow, Roni Rosenfeld +1

The Kalman filter (KF) is one of the most widely used tools for data assimilation and sequential estimation. In this work, we show that the state estimates from the KF in a standar…

cs.LG2016

Sampling Method for Fast Training of Support Vector Data Description

Arin Chaudhuri, Deovrat Kakde, Maria Jahja +4

Support Vector Data Description (SVDD) is a popular outlier detection technique which constructs a flexible description of the input data. SVDD computation time is high for large t…

cs.LG2016

Peak Criterion for Choosing Gaussian Kernel Bandwidth in Support Vector Data Description

Deovrat Kakde, Arin Chaudhuri, Seunghyun Kong +3

Support Vector Data Description (SVDD) is a machine-learning technique used for single class classification and outlier detection. SVDD formulation with kernel function provides a…