17 citations · 17 across the 5 of their papers we have counts for
4 papers · 1 filter
Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks
Sondre Glimsdal, Sebastian Østby, Tobias M. Brambo +1
Green Tsetlin (GT) is a Tsetlin Machine (TM) framework developed to solve real-world problems using TMs. Several frameworks already exist that provide access to TM implementations.…
Coalesced Multi-Output Tsetlin Machines with Clause Sharing
Sondre Glimsdal, Ole-Christoffer Granmo
Using finite-state machines to learn patterns, Tsetlin machines (TMs) have obtained competitive accuracy and learning speed across several benchmarks, with frugal memory- and energ…
Thompson Sampling Guided Stochastic Searching on the Line for Deceptive Environments with Applications to Root-Finding Problems
Sondre Glimsdal, Ole-Christoffer Granmo
The multi-armed bandit problem forms the foundation for solving a wide range of on-line stochastic optimization problems through a simple, yet effective mechanism. One simply casts…
An Optimal Bayesian Network Based Solution Scheme for the Constrained Stochastic On-line Equi-Partitioning Problem
Sondre Glimsdal, Ole-Christoffer Granmo
A number of intriguing decision scenarios revolve around partitioning a collection of objects to optimize some application specific objective function. This problem is generally re…