Multi-category Classification Problem Oriented Subsampling-Based Active Learning Method

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multi-category classification by kernel based nonlinear subspace method

The Kernel based Nonlinear Subspace (KNS) method is proposed for multi-class pattern classi cation. This method consists of the nonlinear transformation of feature spaces de ned by kernel functions and subspace method in transformed high-dimensional spaces. The Support Vector Machine, a nonlinear classi er based on a kernel function technique, shows excellent classi cation performance, however,...

متن کامل

Learning Multi-category Classification in Bayesian Framework

We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat multiclass problem as multiple independent binary classification problem, we propose a method to learn the multiclass predictor directly. The usual approach of “one against rest” and “pairwise coupling” are not only computationally...

متن کامل

An active learning-based SVM multi-class classification model

Traditional multi-class classification models are based on labeled data and are not applicable to unlabeled data. To overcome this limitation, this paper presents a multi-class classification model that is based on active learning and support vector machines (MC_SVMA), which can be used to address unlabeled data. Firstly, a number of unlabeled samples are selected as the most valuable samples u...

متن کامل

solution of security constrained unit commitment problem by a new multi-objective optimization method

چکیده-پخش بار بهینه به عنوان یکی از ابزار زیر بنایی برای تحلیل سیستم های قدرت پیچیده ،برای مدت طولانی مورد بررسی قرار گرفته است.پخش بار بهینه توابع هدف یک سیستم قدرت از جمله تابع هزینه سوخت ،آلودگی ،تلفات را بهینه می کند،و هم زمان قیود سیستم قدرت را نیز برآورده می کند.در کلی ترین حالتopf یک مساله بهینه سازی غیر خطی ،غیر محدب،مقیاس بزرگ،و ایستا می باشد که می تواند شامل متغیرهای کنترلی پیوسته و گ...

Active Learning with Multi-Label SVM Classification

Multi-label classification, where each instance is assigned to multiple categories, is a prevalent problem in data analysis. However, annotations of multi-label instances are typically more timeconsuming or expensive to obtain than annotations of single-label instances. Though active learning has been widely studied on reducing labeling effort for single-label problems, current research on mult...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Physics: Conference Series

سال: 2020

ISSN: 1742-6588,1742-6596

DOI: 10.1088/1742-6596/1631/1/012003