Sondre Glimsdal

According to our database1, Sondre Glimsdal authored at least 18 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021
Coalesced Multi-Output Tsetlin Machines with Clause Sharing.
CoRR, 2021

2020
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

2019
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems.
J. Mach. Learn. Res., 2019

The Convolutional Tsetlin Machine.
CoRR, 2019

Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

Hydropower Optimization Using Split-Window, Meta-Heuristic and Genetic Algorithms.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
A Bayesian network based solution scheme for the constrained Stochastic On-line Equi-Partitioning Problem.
Appl. Intell., 2018

2017
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem.
CoRR, 2017

2015
Thompson Sampling Guided Stochastic Searching on the Line for Adversarial Learning.
Proceedings of the Artificial Intelligence Applications and Innovations, 2015

AIs for Dominion Using Monte-Carlo Tree Search.
Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

Thompson Sampling Guided Stochastic Searching on the Line for Non-stationary Adversarial Learning.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
A Novel Bayesian Network Based Scheme for Finding the Optimal Solution to Stochastic Online Equi-partitioning Problems.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game.
Appl. Intell., 2013

Gaussian Process Based Optimistic Knapsack Sampling with Applications to Stochastic Resource Allocation.
Proceedings of the 24th Midwest Artificial Intelligence and Cognitive Science Conference 2013, 2013

Ant Colony Optimisation for Planning Safe Escape Routes.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

A Spatio-temporal Probabilistic Model of Hazard and Crowd Dynamics in Disasters for Evacuation Planning.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2011
A Two-Armed Bandit Based Scheme for Accelerated Decentralized Learning.
Proceedings of the Modern Approaches in Applied Intelligence, 2011


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