Ranked batch-mode active learning

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Ranked batch-mode active learning

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作者：Thiago N.C. Cardoso ^{thiagon@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author} ; Rodrigo M. Silva ^{rmsilva@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author} ; Sé ; rgio Canuto ^{sergiodaniel@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author} ; Mirella M. Moro ^{mirella@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author} ; Marcos A. Gonç ; alves ; ^{mgoncalv@dcc.ufmg.br" class="auth_mail" title="E-mail the corresponding author}
关键词：Active learning ; Batch-mode ; New ranking function ; Paradigm change
刊名：Information Sciences
出版年：2017
出版时间：10 February 2017
年：2017
卷：379
期：Complete
页码：313-337
全文大小：2962 K

文摘

class="label">•: We introduce a new way of thinking about Batch-Mode Active Learning.
class="label">•: A method for ranking unlabeled sets based on informativeness is proposed.
class="label">•: Our results are superior (up to 25%) to pool-based batch-mode active learning.
class="label">•: Our method is a drop-in replacement for batch-mode methods without their limitations.
class="label">•: It is also superior to density-sensitive active learning methods.

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