This work is a continuation of our earlier work on the Generalized Guard-zones Algorithm (GGA) for self-supervised parameter learning.
Abstract--This work is a continuation of our earlier work on the Generalized Guard-zones Algorithm. (GGA) for self-supervised parameter learning.
In this work we have presented a method ror the automatic determination of the threshold values i'n for a certain class of recursive parameter learning.
This paper proposes a new active learning approach, confidence-based active learning, based on identifying and annotating uncertain samples, ...
(PDF) Generalized guard-zone algorithm (GGA) for learning ...
www.academia.edu › Generalized_guard...
The effectiveness of the automatic selection of guardzone dimension is further demonstrated on a bivariate threeclass data set to show the improvement in ...
Generalized guard-zone algorithm (GGA) for learning: automatic selection of threshold · Contents. Pattern Recognition. Volume 23, Issue 3-4 · PREVIOUS ARTICLE.
The present paper is a continuation of our earlier work on the Generalized Guard-Zones Algorithm (GGA) for self-supervised parameter learning.
Generalized guard-zone algorithm (GGA) for learning: automatic selection of threshold. Pal (Pathak), A. Pal, S. K.. More... January 1990. This work is a ...
Generalized guard-zone algorithm (GGA) for learning: automatic selection of threshold. Authors. A. Pal (Pathak) · S.K. Pal. Source Information. January 1990 ...
Generalized guard-zone algorithm (GGA) for learning: automatic selection of threshold. A Pal, SK Pal. Pattern recognition 23 (3-4), 325-335, 1990. 5, 1990. Some ...