Sfoglia per Autore  

Opzioni
Mostrati risultati da 21 a 40 di 153
Titolo Tipologia Data di pubblicazione Autori File
Green machine learning via augmented Gaussian processes and multi-information source optimization 01 - Articolo su rivista 2021 Candelieri A.Perego R.Archetti F.
Sparsifying to optimize over multiple information sources: an augmented Gaussian process based algorithm 01 - Articolo su rivista 2021 Candelieri A.Archetti F.
Data efficient learning of implicit control strategies in Water Distribution Networks 02 - Intervento a convegno 2021 Candelieri A.Ponti A.Archetti F.
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement 01 - Articolo su rivista 2021 Ponti A.Candelieri A.Archetti F.
Probabilistic measures of edge criticality in graphs: a study in water distribution networks 01 - Articolo su rivista 2021 Ponti A.Candelieri A.Giordani I.Archetti F.
Learning Enabled Constrained Black-Box Optimization 03 - Contributo in libro 2021 Archetti, FCandelieri, AGaluzzi, BGPerego, R
Optimal Sensor Placement by Distribution Based Multiobjective Evolutionary Optimization 02 - Intervento a convegno 2021 Ponti A.Candelieri A.Archetti F.
Risk aware optimization of water sensor placement 02 - Intervento a convegno 2021 Candelieri, APonti, AArchetti, F
Hyperparameter optimization for recommender systems through Bayesian optimization 01 - Articolo su rivista 2020 Galuzzi B. G.Giordani I.Candelieri A.Perego R.Archetti F.
Optimizing Partially Defined Black-Box Functions Under Unknown Constraints via Sequential Model Based Optimization: An Application to Pump Scheduling Optimization in Water Distribution Networks 03 - Contributo in libro 2020 Candelieri, AGaluzzi, BGiordani, IPerego, RArchetti, F
Optimal Scenario-Tree Selection for Multistage Stochastic Programming 02 - Intervento a convegno 2020 Archetti, FCandelieri, AGaluzzi, BMessina, v
Bayesian Optimization for Recommender System 03 - Contributo in libro 2020 Galuzzi, BGGiordani, ICandelieri, APerego, RArchetti, F
Graph data base: An enabling technology for drug prescription patterns analysis 01 - Articolo su rivista 2020 Giordani I.Archetti F.Candelieri A.Arosio G. +
Energy Efficient Hyperparameters Tuning through Augmented Gaussian Processes and Multi-information Source optimization 02 - Intervento a convegno 2020 Candelieri A.Archetti F.Ponti A.Perego R.
Tuning Deep Neural Network’s Hyperparameters Constrained to Deployability on Tiny Systems 02 - Intervento a convegno 2020 Perego R.Candelieri A.Archetti F. +
Learning optimal control of water distribution networks through sequential model-based optimization 03 - Contributo in libro 2020 Candelieri, AGaluzzi, BGiordani, IArchetti, F
Composition of kernel and acquisition functions for high dimensional bayesian optimization 02 - Intervento a convegno 2020 Candelieri, AGiordani, IPerego, RArchetti, F
Are Humans Bayesian in the Optimization of Black-Box Functions? 02 - Intervento a convegno 2020 Candelieri, APerego, RGiordani, IArchetti, F
Modelling human active search in optimizing black-box functions 01 - Articolo su rivista 2020 Candelieri A.Perego R.Giordani I.Ponti A.Archetti F.
Global optimization in machine learning: the design of a predictive analytics application 01 - Articolo su rivista 2019 Candelieri, AntonioArchetti, Francesco
Mostrati risultati da 21 a 40 di 153
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile