Baseline Methods for Active Learning

نویسنده

  • Gavin C. Cawley
چکیده

In many potential applications of machine learning, unlabelled data are abundantly available at low cost, but there is a paucity of labelled data, and labeling unlabelled examples is expensive and/or time-consuming. This motivates the development of active learning methods, that seek to direct the collection of labelled examples such that the greatest performance gains can be achieved using the smallest quantity of labelled data. In this paper, we describe some simple pool-based active learning strategies, based on optimally regularised linear [kernel] ridge regression, providing a set of baseline submissions for the Active Learning Challenge. A simple random strategy, where unlabelled patterns are submitted to the oracle purely at random, is found to be surprisingly effective, being competitive with more complex approaches.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Active Learning: An Approach for Reducing Theory-Practice Gap in Clinical Education

Introduction: The gap between theory and practice in clinical fields, including nursing, is one of the main problems that many solutions have been suggested to eliminate it. In this article, we have tried to investigate its solution through active learning. Methods: In this review article, searching articles published during 2000-2012 was done through library references, scientific databases. ...

متن کامل

Reflective Learning and Teaching: A Review

Introduction: One of the most important characteristic of human being is his ability to learn. Structuralists believe that learning is an active process through which learners explores the principles, meanings and facts by themselves. Learner’s participation in learning process is one of the active learning strategies and reflective learning is considered as an active teaching method which is i...

متن کامل

Multi-level Adaptive Active Learning for Scene Classification

Semantic scene classification is a challenging problem in computer vision. In this paper, we present a novel multi-level active learning approach to reduce the human annotation effort for training robust scene classification models. Different from most existing active learning methods that can only query labels for selected instances at the target categorization level, i.e., the scene class lev...

متن کامل

Active participation of student s in teaching

Active participation of students in teaching is the one of the effective way of learning in science education according to large investigation. By this way students understand current level of knowledge, increasing the student’s eagerness and their attraction for learning. This study was designed to explore the effect of active student involvement in teaching and learning of the bacteriology in...

متن کامل

Active Learning for Multilingual Statistical Machine Translation

Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneously. We introduce an active learning task of adding a new language to an existing multilingual set of parallel text and constructing high quality MT systems, from each language in the collection into this new target lan...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011