This paper presents a novel framework for managing network congestion from an end-to-end perspective. Our work is motivated by several trends in traffic patterns that threaten th...
Hari Balakrishnan, Hariharan Shankar Rahul, Sriniv...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Background: DNA Microarrays have become the standard method for large scale analyses of gene expression and epigenomics. The increasing complexity and inherent noisiness of the ge...
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Collecting digital materials is time-consuming and can gain from automation. Since each source—and even each acquisition—may involve a separate negotiation of terms, a collecto...
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, ...