no code implementations • 26 Apr 2023 • Daniel L. Silver, Tom M. Mitchell
We propose that symbols are first and foremost external communication tools used between intelligent agents that allow knowledge to be transferred in a more efficient and effective manner than having to experience the world directly.
no code implementations • 18 Mar 2023 • Daniel L. Silver, Rinda Digamarthi
Results: The best LSTM models forecasted tomorrow's daily COVID case counts with 90. 7% accuracy, and the 7-day rolling average COVID case counts with 98. 1% accuracy using independent test data.
no code implementations • 8 Apr 2020 • Daniel L. Silver, Jabun Nasa
Estimating grape yield prior to harvest is important to commercial vineyard production as it informs many vineyard and winery decisions.
no code implementations • 12 Mar 2019 • Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang
We organized a competition on Autonomous Lifelong Machine Learning with Drift that was part of the competition program of NeurIPS 2018.
no code implementations • 7 May 2017 • Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Stan Matwin
Understanding and discovering knowledge from GPS (Global Positioning System) traces of human activities is an essential topic in mobility-based urban computing.
no code implementations • 20 Dec 2013 • Ti Wang, Daniel L. Silver
This paper presents an unsupervised multi-modal learning system that learns associative representation from two input modalities, or channels, such that input on one channel will correctly generate the associated response at the other and vice versa.