Darko Zibar
IEEE Communications Surveys and Tutorials · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Darko Zibar trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike (in Statistics and Probability)
Papers from Darko Zibar's perspective
Ordered by how strongly the researchers Darko Zibar trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Dropout: a simple way to prevent neural networks from overfitting
- Pattern Recognition and Machine Learning
- Machine learning - a probabilistic perspective
- Unsupervised Learning
- Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
- Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation (Journal of Lightwave Technology)
- Model‐based geostatistics
- Optical WDM Networks
- Data Mining - Concepts and Techniques (Künstliche Intell.)
Their papers
- An Overview on Application of Machine Learning Techniques in Optical Networks (2018) — 530 citations