资源论文Interactive Structure Learning with Structural Query-by-Committee

Interactive Structure Learning with Structural Query-by-Committee

2020-02-17 | |  35 |   30 |   0

Abstract 

In this work, we introduce interactive structure learning, a framework that unifies many different interactive learning tasks. We present a generalization of the queryby-committee active learning algorithm for this setting, and we study its consistency and rate of convergence, both theoretically and empirically, with and without noise.

上一篇:Bipartite Stochastic Block Models with Tiny Clusters

下一篇:Online Structured Laplace Approximations for Overcoming Catastrophic Forgetting

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...