Abstract: This paper presents a new active learning scheme using support vector machines (SVMs) and its application in identifying the feasibility design ...

An active learning scheme using support vector machines for analog circuit feasibility classification · Figures and Tables · Topics · 22 Citations · 18 References ...

This paper presents a new active learning scheme using Support Vector Machines (SVMs) and its application in identifying the feasibility design space of ...

Mar 24, 2023 · Bibliographic details on An Active Learning Scheme Using Support Vector Machines for Analog Circuit Feasibility Classification.

The proposed active learning approach is extended to the training of asymmetric SVM classifiers, which is further sped up by a global acceleration scheme. We ...

Vemuri, “An active learning scheme us- ing support vector machines for analog circuit feasibility classification,” in vlsi, 2005, pp. 528–534. [12] S.K. ...

ABSTRACT. The use of Support Vector Machines (SVMs) to represent the performance space of analog circuits is explored. In ab-.

Jan 14, 2024 · In this paper, we directly model performance spaces as mathematical relations. We study approximation approaches based on two-class and one- ...

Abstract—Leveraging machine learning has been proven as a promising avenue for addressing many practical circuit design and verification challenges.

May 4, 2012 · In this paper, we propose to use a support vector machine (SVM) for the classification of design data. Although the SVM is a very popular ...