Osonde Osoba

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 4

Top Topics

Learning Algorithm

Hierarchical Bayesian

Top Venues

Neural Networks

Fuzzy Optim. Decis. Mak.

Publications

Bart Kosko, Kartik Audhkhasi, Osonde Osoba
Noise can speed backpropagation learning and deep bidirectional pretraining. Neural Networks 129 (2020)
Osonde Osoba, Bart Kosko
Beyond DAGs: Modeling Causal Feedback with Fuzzy Cognitive Maps. CoRR (2019)
Osonde Osoba, Bart Kosko
Noisy Expectation-Maximization: Applications and Generalizations. CoRR (2018)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noise-enhanced convolutional neural networks. Neural Networks 78 (2016)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noisy hidden Markov models for speech recognition. IJCNN (2013)
Osonde Osoba, Bart Kosko
Noise-enhanced clustering and competitive learning algorithms. Neural Networks 37 (2013)
Kartik Audhkhasi, Osonde Osoba, Bart Kosko
Noise benefits in backpropagation and deep bidirectional pre-training. IJCNN (2013)
Osonde Osoba, Bart Kosko
Corrigendum to "Noise enhanced clustering and competitive learning algorithms" [Neural Networks 37 (2013) 132-140]. Neural Networks 48 (2013)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Triply fuzzy function approximation for hierarchical Bayesian inference. Fuzzy Optim. Decis. Mak. 11 (3) (2012)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Bayesian Inference With Adaptive Fuzzy Priors and Likelihoods. IEEE Trans. Syst. Man Cybern. Part B 41 (5) (2011)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Noise benefits in the expectation-maximization algorithm: Nem theorems and models. IJCNN (2011)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Triply fuzzy function approximation for Bayesian inference. IJCNN (2011)
Osonde Osoba, Sanya Mitaim, Bart Kosko
Adaptive fuzzy priors for Bayesian inference. IJCNN (2009)