Daniel Bashir

Publication Activity (10 Years)

Years Active: 2019-2020
Publications (10 Years): 5

Top Topics

Relative Entropy

Learning Algorithm

Minimum Description Length

Theoretic Framework

Top Venues

ICAART (Revised Selected Papers)

Australasian Conference on Artificial Intelligence

Publications

Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. ICAART (2) (2020)
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
An Information-Theoretic Perspective on Overfitting and Underfitting. Australasian Conference on Artificial Intelligence (2020)
George D. Montañez, Daniel Bashir, Julius Lauw
Trading Bias for Expressivity in Artificial Learning. ICAART (Revised Selected Papers) (2020)
Daniel Bashir, George D. Montañez, Sonia Sehra, Pedro Sandoval Segura, Julius Lauw
An Information-Theoretic Perspective on Overfitting and Underfitting. CoRR (2020)
Pedro Sandoval Segura, Julius Lauw, Daniel Bashir, Kinjal Shah, Sonia Sehra, Dominique Macias, George D. Montañez
The Labeling Distribution Matrix (LDM): A Tool for Estimating Machine Learning Algorithm Capacity. CoRR (2019)