112 citations · 491 across the 39 of their papers we have counts for
6 papers · 1 filter
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion
Jiaming Shen, Zeqiu Wu, Dongming Lei +5
Taxonomies are of great value to many knowledge-rich applications. As the manual taxonomy curation costs enormous human effects, automatic taxonomy construction is in great demand.…
Nonstationary Nonparametric Online Learning: Balancing Dynamic Regret and Model Parsimony
Amrit Singh Bedi, Alec Koppel, Ketan Rajawat +1
An open challenge in supervised learning is \emph{conceptual drift}: a data point begins as classified according to one label, but over time the notion of that label changes. Beyon…
Optimally Compressed Nonparametric Online Learning
Alec Koppel, Amrit Singh Bedi, Ketan Rajawat +1
Batch training of machine learning models based on neural networks is now well established, whereas to date streaming methods are largely based on linear models. To go beyond linea…
Nearly Consistent Finite Particle Estimates in Streaming Importance Sampling
Alec Koppel, Amrit Singh Bedi, Brian M. Sadler +1
In Bayesian inference, we seek to compute information about random variables such as moments or quantiles on the basis of {available data} and prior information. When the distribut…
Directional Communication Enabled by Mobile Parasitic Elements
Fikadu T. Dagefu, Jeffrey N. Twigg, Chirag R. Rao +1
Mobile communications in complex environments such as mega-cities is a challenging problem that limits the ability to deploy autonomous agents in support of operations. Building on…
Testing the Structure of a Gaussian Graphical Model with Reduced Transmissions in a Distributed Setting
Yicheng Chen, Rick S. Blum, Brian M. Sadler +1
Testing a covariance matrix following a Gaussian graphical model (GGM) is considered in this paper based on observations made at a set of distributed sensors grouped into clusters.…