Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Albert Bifet,Michael May,Myra Spiliopoulou Conference proceedin

充氣女

GRILL

Interstellar

DOSE

Safe Exploration for Active Learning with Gaussian Processes upper bound for the probability of failure. To demonstrate the efficiency and robustness of our safe exploration scheme in the active learning setting, we test the approach on a policy exploration task for the inverse pendulum hold up problem.

美學(xué)

Semi-Supervised Consensus Clustering for ECG Pathology Classification in the probability domain, which allows for a step-size-free optimization. Experiments on standard benchmark datasets show the validity of our method over the state-of-the-art. In the real world problem of ECG pathology classification, the proposed method achieves comparable performance to supervis

樹(shù)木中

invert

Stefano Ferilli,Domenico Redavid,Floriana Esposito

盲信者

deviate