Cover Image

Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Halenka, Vojtech, Kadhim, Ahmed K., Clarke, Paul F. A., Bhattarai, Bimal, Saha, Rupsa, Granmo, Ole-Christoffer, Jiao, Lei, Andersen, Per-Arne
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Comparative Study of Feature Selection in Tsetlin Machines
by: Halenka, Vojtech, et al.
Published: (2025)

Explainable and Hardware-Efficient Jamming Detection for 5G Networks Using the Convolutional Tsetlin Machine
by: Halenka, Vojtech, et al.
Published: (2026)

Exploring State Space and Reasoning by Elimination in Tsetlin Machines
by: Kadhim, Ahmed K., et al.
Published: (2024)

The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
by: Granmo, Ole-Christoffer, et al.
Published: (2025)

Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space
by: Kadhim, Ahmed K., et al.
Published: (2025)

Scalable Multi-phase Word Embedding Using Conjunctive Propositional Clauses
by: Kadhim, Ahmed K., et al.
Published: (2025)

On-Device Interpretable Tsetlin Machine-Based Intrusion Detection for Secure IoMT
by: Jaiswal, Rahul, et al.
Published: (2026)

A Tsetlin Machine-driven Intrusion Detection System for Next-Generation IoMT Security
by: Jaiswal, Rahul, et al.
Published: (2026)

Scalable Bayesian Network Structure Learning Using Tsetlin Machine to Constrain the Search Space
by: Dumbre, Kunal, et al.
Published: (2025)

FastOmniTMAE: Parallel Clause Learning for Scalable and Hardware-Efficient Tsetlin Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2026)

An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites
by: Grønningsæter, Ylva, et al.
Published: (2024)

Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
by: Kadhim, Ahmed K., et al.
Published: (2025)

Uncertainty Quantification in the Tsetlin Machine
by: Helin, Runar, et al.
Published: (2025)

An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
by: Tunheim, Svein Anders, et al.
Published: (2025)

A Methodology for Transparent Logic-Based Classification Using a Multi-Task Convolutional Tsetlin Machine
by: Shende, Mayur Kishor, et al.
Published: (2025)

Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
by: Blakely, Christian D.
Published: (2024)

Green Tsetlin Redefining Efficiency in Tsetlin Machine Frameworks
by: Glimsdal, Sondre, et al.
Published: (2024)

Pruning Literals for Highly Efficient Explainability at Word Level
by: Yadav, Rohan Kumar, et al.
Published: (2024)

Fast computation of Ehrhart polynomials of Gelfand--Tsetlin polytopes via Macdonald reciprocity
by: Alexandersson, Per
Published: (2026)

Fuzzy-Pattern Tsetlin Machine
by: Hnilov, Artem
Published: (2025)

The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
by: Abeyrathna, K. Darshana, et al.
Published: (2024)

The Sparse Tsetlin Machine: Sparse Representation with Active Literals
by: Østby, Sebastian, et al.
Published: (2024)

A Contrastive Learning Scheme with Transformer Innate Patches
by: Jyhne, Sander Riisøen, et al.
Published: (2023)

Double Machine Learning for Static Panel Models with Fixed Effects
by: Clarke, Paul S., et al.
Published: (2023)

Hyperdimensional Probe: Decoding LLM Representations via Vector Symbolic Architectures
by: Bronzini, Marco, et al.
Published: (2025)

Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)
by: Morris, Jordan
Published: (2024)

A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines
by: Kinateder, Calvin
Published: (2025)

Runtime Tunable Tsetlin Machines for Edge Inference on eFPGAs
by: Rahman, Tousif, et al.
Published: (2025)

Detecting Parameter Instabilities in Functional Concurrent Linear Regression
by: Basu, Rupsa, et al.
Published: (2026)

Fatigue detection via sequential testing of biomechanical data using martingale statistic
by: Basu, Rupsa, et al.
Published: (2023)

HyDra: SOT-CAM Based Vector Symbolic Macro for Hyperdimensional Computing
by: Nayan, Md Mizanur Rahaman, et al.
Published: (2025)

Quantum encryption of healthcare images: Enhancing security and confidentiality in e‐health systems
by: Ahmed J. Kadhim, et al.
Published: (2024)

Event-Driven Digital-Time-Domain Inference Architectures for Tsetlin Machines
by: Lan, Tian, et al.
Published: (2025)

Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
by: Mao, Gang, et al.
Published: (2025)

LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines
by: Gao, Jiechao, et al.
Published: (2026)

A Tsetlin Machine Image Classification Accelerator on a Flexible Substrate
by: Qin, Yushu, et al.
Published: (2025)

Proof-of-Useful-Work Blockchain for Trustworthy Biomedical Hyperdimensional Computing
by: Wen, Jinghao, et al.
Published: (2022)

Robust Clustering using Hyperdimensional Computing
by: Ge, Lulu, et al.
Published: (2023)

Effective length scales, dispersion relations, and discrete densities of states for Laplacian eigenvectors on complex networks
by: Rikvold, Per Arne
Published: (2026)

$q$-deformations of the Tsetlin library
by: Ayyer, Arvind, et al.
Published: (2026)