Abstract: Coordinating a mobile sensor team (MST) to cover targets is a challenging problem in many multiagent applications. Such applications are inherently dynamic due to changes...
Roie Zivan, Harel Yedidsion, Steven Okamoto, Robin...
Abstract In this paper, a new Multi-agent Reinforcement Learning (MARL) approach is introduced for the simulation of pedestrian groups. Unlike other solutions, where the behaviors ...
Francisco Martinez-Gil, Miguel Lozano, Fernando Fe...
Given a data set from a union of multiple linear subspaces, a robust subspace clustering algorithm fits each group of data points with a low-dimensional subspace and then cluster...
This paper describes a novel combination of Java program analysis and automated learning and planning architecture to the domain of Java vulnerability analysis. The key feature of...
Ugur Kuter, Mark H. Burstein, J. Benton, Daniel Br...
Social media platforms are often used by people to express their needs and desires. Such data offer great opportunities to identify users’ consumption intention from user-genera...
The ultimate goal of human natural language interaction is to communicate intentions. However, these intentions are often not directly derivable from the semantics of an utterance...
Tom Williams, Gordon Briggs, Bradley Oosterveld, M...
Mental illness is becoming a major plague in modern societies and poses challenges to the capacity of current public health systems worldwide. With the widespread adoption of soci...
Dawei Zhou, Jiebo Luo, Vincent M. B. Silenzio, Yun...
We address the task of segmenting sequential data using convex optimization problem, which is specifically designed to work in the context of outliers in the data. We propose two...