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Extending the Tsetlin Machine With Integer-Weighted Clauses for
  Increased Interpretability

Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability

11 May 2020
Kuruge Darshana Abeyrathna
Ole-Christoffer Granmo
Morten Goodwin
ArXivPDFHTML

Papers citing "Extending the Tsetlin Machine With Integer-Weighted Clauses for Increased Interpretability"

15 / 15 papers shown
Title
StructureBoost: Efficient Gradient Boosting for Structured Categorical
  Variables
StructureBoost: Efficient Gradient Boosting for Structured Categorical Variables
B. Lucena
10
4
0
08 Jul 2020
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal
Levi Melnick
Nicholas Frosst
Xuezhou Zhang
Ben Lengerich
R. Caruana
Geoffrey E. Hinton
64
412
0
29 Apr 2020
Exploiting Categorical Structure Using Tree-Based Methods
Exploiting Categorical Structure Using Tree-Based Methods
B. Lucena
11
7
0
15 Apr 2020
Increasing the Inference and Learning Speed of Tsetlin Machines with
  Clause Indexing
Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
S. Gorji
Ole-Christoffer Granmo
Sondre Glimsdal
J. Edwards
M. G. Olsen
AI4CE
11
15
0
07 Apr 2020
The Weighted Tsetlin Machine: Compressed Representations with Weighted
  Clauses
The Weighted Tsetlin Machine: Compressed Representations with Weighted Clauses
Adrian Phoulady
Ole-Christoffer Granmo
S. Gorji
H. A. Phoulady
8
5
0
28 Nov 2019
InterpretML: A Unified Framework for Machine Learning Interpretability
InterpretML: A Unified Framework for Machine Learning Interpretability
Harsha Nori
Samuel Jenkins
Paul Koch
R. Caruana
AI4CE
111
486
0
19 Sep 2019
A Tsetlin Machine with Multigranular Clauses
A Tsetlin Machine with Multigranular Clauses
S. Gorji
Ole-Christoffer Granmo
Adrian Phoulady
M. G. Olsen
23
22
0
16 Sep 2019
The Convolutional Tsetlin Machine
The Convolutional Tsetlin Machine
Ole-Christoffer Granmo
Sondre Glimsdal
Lei Jiao
M. G. Olsen
C. Omlin
G. T. Berge
32
80
0
23 May 2019
A Scheme for Continuous Input to the Tsetlin Machine with Applications
  to Forecasting Disease Outbreaks
A Scheme for Continuous Input to the Tsetlin Machine with Applications to Forecasting Disease Outbreaks
Kuruge Darshana Abeyrathna
Ole-Christoffer Granmo
Xuan Zhang
M. G. Olsen
25
29
0
10 May 2019
Learning Logistic Circuits
Learning Logistic Circuits
Yitao Liang
Guy Van den Broeck
TPM
41
49
0
27 Feb 2019
Using the Tsetlin Machine to Learn Human-Interpretable Rules for
  High-Accuracy Text Categorization with Medical Applications
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
42
75
0
12 Sep 2018
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to
  Optimal Pattern Recognition with Propositional Logic
The Tsetlin Machine -- A Game Theoretic Bandit Driven Approach to Optimal Pattern Recognition with Propositional Logic
Ole-Christoffer Granmo
30
149
0
04 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
359
3,742
0
28 Feb 2017
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
496
37,815
0
09 Mar 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
772
16,828
0
16 Feb 2016
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