Št. zadetkov: 60
Izvirni znanstveni članek
Oznake:
Au catalyst;air plasma;in-situ regeneration;water vapor;CO oxidation;
In-situ regeneration of Au nanocatalysts by atmospheric-pressure air plasma : significant contribution of water vapor
Leto:
2015
Vir:
Kemijski inštitut (KI)
Izvirni znanstveni članek
Oznake:
gold catalyst;deactivation;plasma regeneration;N [sub] 2 content;CO oxidation;
In-situ plasma regeneration of deactivated Au/TiO [sub] 2 nanocatalysts during CO oxidation and effect of N [sub] 2 content
Leto:
2012
Vir:
Kemijski inštitut (KI)
Izvirni znanstveni članek
Oznake:
ozon;struktura snovi;oksidacija;plin;
Ozone catalytic oxidation of adsorbed benzene over AgMn/HZSM-5 catalysts at room temperature
Leto:
2014
Vir:
Kemijski inštitut (KI)
Video in druga učna gradiva
Oznake:
computer science;machine learning;markov processes
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unattainable fully annotated training data. While likelihood-based methods have been extensively explored, to our knowledge, le ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;security & privacy
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;markov processes
Learning sparse Markov networks based on the maximum margin principle remains an open problem in structured prediction. In this paper, we proposed the Laplace max-margin Markov network (LapM3N), and a general class of Bayesian M3N (BM3N) of which the LapM3N is a special case and enjoys a sparse repr ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;supervised learning;regression
Supervised topic models utilize document’s side information for discovering predictive low dimensional representations of documents;
and existing models apply likelihood-based estimation. In this paper, we present a max-margin supervised topic model for both continuous
and categorical response var ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
Sparsity is a desirable property in high dimensional learning. The $\ell_1$-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity; but achieving both in a single structured prediction model remains difficult. This paper presents an $\ell_1$-norm max-margin M ...
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;social media;computers;social networking;social sciences;society;information society
Today, YouTube is the largest user-driven video content provider in the world; it has become a major platform for disseminating multimedia information. A major contribution to its success comes from the user-to-user social experience that differentiates it from traditional content broadcasters. This ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining
Expense reimbursement is a time-consuming and labor-intensive process across organizations. In this talk, we present an automated expense reimbursement system developed at IBM Almaden Research Center. Our complete solution involves (1) an electronic document management infrastructure that provides m ...
Leto:
2007
Vir:
videolectures.net