[LIVRE][B] Lifelong machine learning
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine
learning paradigm that continuously learns by accumulating past knowledge that it then …
learning paradigm that continuously learns by accumulating past knowledge that it then …
Decision making in multiagent systems: A survey
Intelligent transport systems, efficient electric grids, and sensor networks for data collection
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
and analysis are some examples of the multiagent systems (MAS) that cooperate to achieve …
A queueing network-based distributed Laplacian solver
We use queueing networks to present a new approach to solving Laplacian systems. Our
distributed solver works for a large and important class of Laplacian systems that we call" …
distributed solver works for a large and important class of Laplacian systems that we call" …
A distributed laplacian solver and its applications to electrical flow and random spanning tree computation
We use queueing networks to present a new approach to solving Laplacian systems. This
marks a significant departure from the existing techniques, mostly based on graph-theoretic …
marks a significant departure from the existing techniques, mostly based on graph-theoretic …
[PDF][PDF] Synthesis Lectures on Artificial Intelligence and Machine Learning
LM Learning - 111.68.96.114
The increasing abundance of large high-quality datasets, combined with significant
technical advances over the last several decades have made machine learning into a major …
technical advances over the last several decades have made machine learning into a major …
[CITATION][C] On taming large optimization problems: a machine learning approach for an improved performance of ad hoc teams of heterogeneous agents in package …
YA Rizk - 2018