25 citations · 26 across the 5 of their papers we have counts for
6 papers
The Roles of Symbols in Neural-based AI: They are Not What You Think!
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…
Forecasting COVID-19 Case Counts Based on 2020 Ontario Data
Daniel L. Silver, Rinda Digamarthi
Objective: To develop machine learning models that can predict the number of COVID-19 cases per day given the last 14 days of environmental and mobility data. Approach: COVID-19 da…
Estimating Grape Yield on the Vine from Multiple Images
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. Currently, the process of yield estimation…
AutoML @ NeurIPS 2018 challenge: Design and Results
Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon +5
We organized a competition on Autonomous Lifelong Machine Learning with Drift that was part of the competition program of NeurIPS 2018. This data driven competition asked participa…
TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks
Xiang Jiang, Erico N de Souza, Ahmad Pesaranghader +3
Understanding and discovering knowledge from GPS (Global Positioning System) traces of human activities is an essential topic in mobility-based urban computing. We propose Trajecto…
Learning Paired-associate Images with An Unsupervised Deep Learning Architecture
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 c…