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Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data
  Streams

Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams

2 January 2019
Mohammad Kachuee
Orpaz Goldstein
Kimmo Karkkainen
Sajad Darabi
Majid Sarrafzadeh
    OOD
ArXivPDFHTML

Papers citing "Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams"

4 / 4 papers shown
Title
Active Acquisition for Multimodal Temporal Data: A Challenging
  Decision-Making Task
Active Acquisition for Multimodal Temporal Data: A Challenging Decision-Making Task
Jannik Kossen
Cătălina Cangea
Eszter Vértes
Andrew Jaegle
Viorica Patraucean
Ira Ktena
Nenad Tomašev
Danielle Belgrave
30
8
0
09 Nov 2022
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors'
  Reasoning with Deep Reinforcement Learning
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning
Arsène Fansi Tchango
Rishab Goel
Julien Martel
Zhi Wen
G. Caron
J. Ghosn
24
11
0
13 Oct 2022
Active Information Acquisition
Active Information Acquisition
He He
Paul Mineiro
Nikos Karampatziakis
62
18
0
05 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
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