ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.07827
  4. Cited By
Stopping criteria for boosting automatic experimental design using
  real-time fMRI with Bayesian optimization

Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization

24 November 2015
R. Lorenz
R. Monti
I. Violante
Aldo A. Faisal
C. Anagnostopoulos
R. Leech
Giovanni Montana
ArXivPDFHTML

Papers citing "Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization"

2 / 2 papers shown
Title
Stopping criterion for active learning based on deterministic
  generalization bounds
Stopping criterion for active learning based on deterministic generalization bounds
Hideaki Ishibashi
H. Hino
16
29
0
15 May 2020
Optimization, fast and slow: optimally switching between local and
  Bayesian optimization
Optimization, fast and slow: optimally switching between local and Bayesian optimization
Mark McLeod
Michael A. Osborne
Stephen J. Roberts
22
42
0
22 May 2018
1