Št. zadetkov: 20
Izvirni znanstveni članek
Oznake:
solni odpadki;nagib površine;efloracija trajnostni beton;nedestruktivne metode;salt waste;surface inclination;efflorescence sustainable concrete;non-destructive methods;
Disposing of excess salt from seawater desalination and the potash industry presents substantial ecological risks worldwide. This underscores the pressing need to explore reuse possibilities to mitigate environmental damage. One potential solution involves incorporating salt waste into building cons ...
Leto:
2025
Vir:
Digitalni repozitorij raziskovalnih organizacij Slovenije
Video in druga učna gradiva
Oznake:
computer science;machine learning;clustering
This presentation describes approaches to hierarchical clustering.
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
events
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning;dirichlet processes
**The Bayesian approach** allows for a coherent framework for dealing with uncertainty in machine learning. By integrating out parameters, Bayesian models do not suffer from overfitting, thus it is conceivable to consider models with infinite numbers of parameters, aka Bayesian nonparametric models. ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
Machine learning researchers often have to contend with issues of model selection and model fitting in the context of large complicated models and sparse data. The idea which I am pushing for in this project is that these can be nicely handled using Bayesian techniques.
Model selection is selecting ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;linear models
We propose a novel class of Bayesian nonparametric models for sequential data called fragmentation-coagulation processes (FCPs). FCPs model a set of sequences using a partition-valued Markov process which evolves by splitting and merging clusters. An FCP is exchangeable, projective, stationary and r ...
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
Leto:
2011
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;digital signal processing;machine learning;computational learning theory;deep learning;information theory;mathematics;statistics
Ensembles of randomized decision trees are widely used for
classification and regression tasks in machine learning and statistics.
They achieve competitive predictive performance and are computationally
efficient to train (batch setting) and test, making them excellent
candidates for real wo ...
Leto:
2014
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning
In this paper we investigate the use of Langevin Monte Carlo methods on the probability simplex and propose a new method, Stochastic gradient Riemannian Langevin dynamics, which is simple to implement and can be applied online. We apply this method to latent Dirichlet allocation in an online setting ...
Leto:
2014
Vir:
videolectures.net